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CrispStrobe commited on
Commit ·
7cc1131
1
Parent(s): af78198
feat: verbose HF validation, OCR benchmarks, and corrected model mappings
Browse files- data/benchmarks.json +128 -0
- data/providers.json +708 -708
- scripts/fetch-benchmarks.js +69 -3
- scripts/fetch-providers.js +2 -0
- scripts/validate-hf-ids.js +98 -0
- src/App.tsx +7 -2
data/benchmarks.json
CHANGED
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@@ -73036,5 +73036,133 @@
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| 73036 |
"mteb_retrieval": "manual",
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| 73037 |
"lb_coding": "manual"
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| 73038 |
}
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}
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]
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| 73036 |
"mteb_retrieval": "manual",
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| 73037 |
"lb_coding": "manual"
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| 73038 |
}
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| 73039 |
+
},
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{
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"hf_id": "datalab-to/chandra-ocr-2",
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"name": "chandra-ocr-2",
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"ocr_avg": 85.9,
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"sources": {
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"ocr_avg": "manual"
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}
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},
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{
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"hf_id": "rednote-hilab/dots.mocr",
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"name": "dots.mocr",
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"ocr_avg": 83.9,
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"sources": {
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"ocr_avg": "manual"
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}
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},
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{
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"hf_id": "lightonai/LightOnOCR-2-1B",
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"name": "LightOnOCR-2-1B",
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"ocr_avg": 83.2,
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"sources": {
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"ocr_avg": "manual"
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}
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},
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{
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"hf_id": "datalab-to/chandra",
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"name": "chandra",
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"ocr_avg": 83.1,
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"sources": {
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"ocr_avg": "manual"
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}
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},
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{
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"hf_id": "infly/Infinity-Parser-7B",
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"name": "Infinity-Parser-7B",
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"ocr_avg": 82.5,
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"sources": {
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"ocr_avg": "manual"
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}
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},
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{
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"hf_id": "allenai/olmOCR-2-7B-1025-FP8",
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"name": "olmOCR-2-7B-1025-FP8",
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"ocr_avg": 82.4,
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"sources": {
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"ocr_avg": "manual"
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}
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},
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{
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"hf_id": "PaddlePaddle/PaddleOCR-VL",
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"name": "PaddleOCR-VL",
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"ocr_avg": 80,
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"sources": {
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"ocr_avg": "manual"
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}
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},
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{
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"hf_id": "baidu/Qianfan-OCR",
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"name": "Qianfan-OCR",
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"ocr_avg": 79.8,
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"sources": {
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"ocr_avg": "manual"
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}
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},
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{
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"hf_id": "rednote-hilab/dots.ocr",
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"name": "dots.ocr",
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"ocr_avg": 79.1,
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| 73108 |
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"sources": {
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"ocr_avg": "manual"
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}
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},
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{
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"hf_id": "deepseek-ai/DeepSeek-OCR-2",
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"name": "DeepSeek-OCR-2",
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"ocr_avg": 76.3,
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"sources": {
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"ocr_avg": "manual"
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}
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},
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{
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"hf_id": "lightonai/LightOnOCR-1B-1025",
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"name": "LightOnOCR-1B-1025",
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"ocr_avg": 76.1,
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"sources": {
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"ocr_avg": "manual"
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}
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},
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{
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"hf_id": "deepseek-ai/DeepSeek-OCR",
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"name": "DeepSeek-OCR",
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"ocr_avg": 75.7,
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"sources": {
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"ocr_avg": "manual"
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}
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},
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{
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"hf_id": "opendatalab/MinerU2.5-2509-1.2B",
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"name": "MinerU2.5-2509-1.2B",
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"ocr_avg": 75.2,
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"sources": {
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"ocr_avg": "manual"
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}
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},
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{
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"hf_id": "zai-org/GLM-OCR",
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"name": "GLM-OCR",
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"ocr_avg": 75.2,
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"sources": {
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"ocr_avg": "manual"
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}
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},
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{
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"hf_id": "FireRedTeam/FireRed-OCR",
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"name": "FireRed-OCR",
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"ocr_avg": 70.2,
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"sources": {
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"ocr_avg": "manual"
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}
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},
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{
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"hf_id": "nanonets/Nanonets-OCR2-3B",
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"name": "Nanonets-OCR2-3B",
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"ocr_avg": 69.5,
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"sources": {
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"ocr_avg": "manual"
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}
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}
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]
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data/providers.json
CHANGED
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@@ -1088,6 +1088,16 @@
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"gdpr_compliant": true,
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"eu_endpoints": true,
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"models": [
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{
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"name": "novita/meta-llama/llama-3.2-1b-instruct",
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"type": "chat",
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"hf_private": false,
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"hf_id": "meta-llama/Llama-3.2-1B-Instruct"
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},
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{
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"name": "deepinfra/meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo",
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"type": "chat",
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"input_price_per_1m": 0.02,
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"output_price_per_1m": 0.05,
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"currency": "USD",
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"context_window": 131072,
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"size_b": 8,
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"hf_private": false
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},
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{
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"name": "openai/gpt-5-nano",
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"type": "vision",
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"hf_id": "meta-llama/Meta-Llama-3-8B-Instruct"
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},
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{
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"name": "
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"type": "chat",
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"input_price_per_1m": 0.05,
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"output_price_per_1m": 0.
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"currency": "USD",
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"context_window":
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{
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"name": "
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"type": "
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"input_price_per_1m": 0.05,
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"output_price_per_1m": 0.
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"currency": "USD",
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"context_window": 16384,
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"size_b": 8,
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"capabilities": [
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{
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"name": "novita/
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"type": "chat",
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"input_price_per_1m": 0.05,
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"output_price_per_1m": 0.05,
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"hf_private": false
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},
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{
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"name": "
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"type": "chat",
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"input_price_per_1m": 0.05,
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"output_price_per_1m": 0.
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"currency": "USD",
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"
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"context_window": 200000,
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"hf_private": true
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},
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{
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"name": "
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"type": "
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"input_price_per_1m": 0.05,
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"output_price_per_1m": 0.
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"currency": "USD",
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"capabilities": [
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{
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"name": "
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"type": "chat",
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"input_price_per_1m": 0.05,
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"output_price_per_1m": 0.
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"currency": "USD",
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"context_window": 1000000,
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"capabilities": [
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],
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"hf_private": true
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{
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"hf_private": false
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},
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{
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"name": "
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"type": "chat",
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"input_price_per_1m": 0.1,
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"output_price_per_1m": 0.
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"currency": "USD",
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"context_window":
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"size_b":
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"capabilities": [
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"tools",
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"reasoning"
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],
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"hf_id": "
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"hf_private": false
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},
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{
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"name": "
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"type": "vision",
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"input_price_per_1m": 0.1,
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"output_price_per_1m": 0.4,
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"currency": "USD",
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"capabilities": [
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"vision"
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],
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"context_window": 1047576,
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"hf_private": true
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},
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{
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"name": "azure/gpt-4.1-nano",
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"type": "vision",
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"input_price_per_1m": 0.1,
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"output_price_per_1m": 0.4,
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"currency": "USD",
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"capabilities": [
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"context_window": 1047576,
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"hf_private": true
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},
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{
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"name": "azure/openai-responses/gpt-4.1-nano",
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"type": "vision",
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"input_price_per_1m": 0.1,
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"output_price_per_1m": 0.4,
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"currency": "USD",
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"capabilities": [
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"context_window":
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"hf_private": true
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{
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"hf_private": true
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},
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{
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"name": "mistral/
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"type": "chat",
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"input_price_per_1m": 0.1,
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"output_price_per_1m": 0.3,
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"currency": "USD",
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"context_window": 32768,
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"hf_private": true
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{
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"name": "mistral/devstral-small-latest",
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"type": "chat",
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"input_price_per_1m": 0.1,
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"output_price_per_1m": 0.3,
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"hf_private": false
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},
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{
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"name": "mistral/devstral-small-
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"type": "chat",
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"input_price_per_1m": 0.1,
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"output_price_per_1m": 0.3,
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"size_b": 24,
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"hf_private": false
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},
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{
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"name": "openai-responses/gpt-4.1-nano",
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"type": "vision",
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"hf_private": true
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},
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{
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"name": "
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"type": "vision",
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"input_price_per_1m": 0.1,
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"output_price_per_1m": 0.4,
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"currency": "USD",
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"capabilities": [
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"reasoning"
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| 1398 |
],
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| 1399 |
-
"context_window":
|
| 1400 |
"hf_private": true
|
| 1401 |
},
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| 1402 |
{
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@@ -1410,20 +1386,44 @@
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| 1410 |
"hf_private": false
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| 1411 |
},
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| 1412 |
{
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| 1413 |
-
"name": "
|
| 1414 |
"type": "chat",
|
| 1415 |
"input_price_per_1m": 0.1,
|
| 1416 |
-
"output_price_per_1m": 0.
|
| 1417 |
"currency": "USD",
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| 1418 |
-
"context_window":
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| 1419 |
-
"size_b":
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| 1420 |
"capabilities": [
|
| 1421 |
"tools",
|
| 1422 |
"reasoning"
|
| 1423 |
],
|
| 1424 |
-
"hf_id": "
|
| 1425 |
"hf_private": false
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},
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| 1427 |
{
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| 1428 |
"name": "deepinfra/meta-llama/Llama-3.3-70B-Instruct-Turbo",
|
| 1429 |
"type": "chat",
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@@ -1476,46 +1476,69 @@
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| 1476 |
"hf_private": false
|
| 1477 |
},
|
| 1478 |
{
|
| 1479 |
-
"name": "
|
| 1480 |
"type": "chat",
|
| 1481 |
"input_price_per_1m": 0.15,
|
| 1482 |
-
"output_price_per_1m": 0.
|
| 1483 |
"currency": "USD",
|
| 1484 |
-
"context_window": 131072,
|
| 1485 |
-
"size_b": 120,
|
| 1486 |
"capabilities": [
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| 1487 |
-
"tools",
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| 1488 |
"reasoning"
|
| 1489 |
],
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| 1490 |
"hf_id": "openai/gpt-oss-120b",
|
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"hf_private": false
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| 1492 |
},
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| 1493 |
{
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| 1494 |
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"name": "
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"type": "vision",
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| 1496 |
"input_price_per_1m": 0.15,
|
| 1497 |
"output_price_per_1m": 0.6,
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| 1498 |
"currency": "USD",
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"capabilities": [
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| 1500 |
-
"vision"
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],
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"context_window":
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"hf_private": true
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},
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{
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-
"name": "
|
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-
"type": "
|
| 1508 |
"input_price_per_1m": 0.15,
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| 1509 |
"output_price_per_1m": 0.6,
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| 1510 |
"currency": "USD",
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"capabilities": [
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"reasoning"
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],
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-
"context_window":
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"size_b":
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"hf_id": "
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"hf_private": false
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| 1519 |
{
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"name": "novita/deepseek/deepseek-r1-distill-qwen-14b",
|
| 1521 |
"type": "chat",
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@@ -1533,43 +1556,20 @@
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| 1533 |
"hf_private": false
|
| 1534 |
},
|
| 1535 |
{
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-
"name": "
|
| 1537 |
"type": "chat",
|
| 1538 |
"input_price_per_1m": 0.15,
|
| 1539 |
-
"output_price_per_1m": 0.
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| 1540 |
-
"currency": "USD",
|
| 1541 |
-
"context_window": 262144,
|
| 1542 |
-
"size_b": 235,
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| 1543 |
-
"hf_private": false
|
| 1544 |
-
},
|
| 1545 |
-
{
|
| 1546 |
-
"name": "mistral/mistral-small-2603",
|
| 1547 |
-
"type": "vision",
|
| 1548 |
-
"input_price_per_1m": 0.15,
|
| 1549 |
-
"output_price_per_1m": 0.6,
|
| 1550 |
"currency": "USD",
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| 1551 |
"capabilities": [
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| 1552 |
-
"
|
| 1553 |
"reasoning"
|
| 1554 |
],
|
| 1555 |
-
"
|
| 1556 |
-
"size_b": 119,
|
| 1557 |
-
"hf_id": "mistralai/Mistral-Small-4-119B-2603",
|
| 1558 |
"hf_private": false
|
| 1559 |
},
|
| 1560 |
-
{
|
| 1561 |
-
"name": "mistral/mistral-small-latest",
|
| 1562 |
-
"type": "vision",
|
| 1563 |
-
"input_price_per_1m": 0.15,
|
| 1564 |
-
"output_price_per_1m": 0.6,
|
| 1565 |
-
"currency": "USD",
|
| 1566 |
-
"capabilities": [
|
| 1567 |
-
"vision",
|
| 1568 |
-
"reasoning"
|
| 1569 |
-
],
|
| 1570 |
-
"context_window": 256000,
|
| 1571 |
-
"hf_private": true
|
| 1572 |
-
},
|
| 1573 |
{
|
| 1574 |
"name": "novita/mistralai/mistral-nemo",
|
| 1575 |
"type": "chat",
|
|
@@ -1595,69 +1595,73 @@
|
|
| 1595 |
"hf_private": false
|
| 1596 |
},
|
| 1597 |
{
|
| 1598 |
-
"name": "
|
| 1599 |
-
"type": "
|
| 1600 |
"input_price_per_1m": 0.2,
|
| 1601 |
-
"output_price_per_1m": 1.
|
| 1602 |
"currency": "USD",
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| 1603 |
"capabilities": [
|
| 1604 |
-
"
|
| 1605 |
"reasoning"
|
| 1606 |
],
|
| 1607 |
-
"
|
| 1608 |
-
"
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| 1609 |
},
|
| 1610 |
{
|
| 1611 |
-
"name": "
|
| 1612 |
"type": "chat",
|
| 1613 |
"input_price_per_1m": 0.2,
|
| 1614 |
-
"output_price_per_1m": 0.
|
| 1615 |
"currency": "USD",
|
| 1616 |
-
"context_window":
|
| 1617 |
-
"size_b":
|
| 1618 |
"capabilities": [
|
| 1619 |
-
"
|
| 1620 |
-
"
|
| 1621 |
],
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| 1622 |
"hf_private": false
|
| 1623 |
},
|
| 1624 |
{
|
| 1625 |
-
"name": "
|
| 1626 |
-
"type": "
|
| 1627 |
"input_price_per_1m": 0.2,
|
| 1628 |
"output_price_per_1m": 0.8,
|
| 1629 |
"currency": "USD",
|
| 1630 |
-
"context_window": 128000,
|
| 1631 |
-
"size_b": 235,
|
| 1632 |
"capabilities": [
|
| 1633 |
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"
|
| 1634 |
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|
| 1635 |
],
|
| 1636 |
-
"
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| 1637 |
"hf_private": false
|
| 1638 |
},
|
| 1639 |
{
|
| 1640 |
-
"name": "xai/grok-4-
|
| 1641 |
-
"type": "
|
| 1642 |
"input_price_per_1m": 0.2,
|
| 1643 |
"output_price_per_1m": 0.5,
|
| 1644 |
"currency": "USD",
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| 1645 |
"capabilities": [
|
| 1646 |
-
"vision"
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|
| 1647 |
],
|
| 1648 |
-
"context_window": 2000000,
|
| 1649 |
"hf_private": true
|
| 1650 |
},
|
| 1651 |
{
|
| 1652 |
-
"name": "xai/grok-
|
| 1653 |
"type": "vision",
|
| 1654 |
"input_price_per_1m": 0.2,
|
| 1655 |
-
"output_price_per_1m":
|
| 1656 |
"currency": "USD",
|
| 1657 |
"capabilities": [
|
| 1658 |
"vision"
|
| 1659 |
],
|
| 1660 |
-
"context_window":
|
| 1661 |
"hf_private": true
|
| 1662 |
},
|
| 1663 |
{
|
|
@@ -1673,7 +1677,7 @@
|
|
| 1673 |
"hf_private": true
|
| 1674 |
},
|
| 1675 |
{
|
| 1676 |
-
"name": "xai/grok-4-fast",
|
| 1677 |
"type": "chat",
|
| 1678 |
"input_price_per_1m": 0.2,
|
| 1679 |
"output_price_per_1m": 0.5,
|
|
@@ -1687,21 +1691,32 @@
|
|
| 1687 |
"hf_private": true
|
| 1688 |
},
|
| 1689 |
{
|
| 1690 |
-
"name": "xai/grok-
|
| 1691 |
-
"type": "
|
| 1692 |
"input_price_per_1m": 0.2,
|
| 1693 |
-
"output_price_per_1m":
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| 1694 |
"currency": "USD",
|
| 1695 |
-
"context_window": 2000000,
|
| 1696 |
"capabilities": [
|
| 1697 |
"vision",
|
| 1698 |
-
"tools",
|
| 1699 |
"reasoning"
|
| 1700 |
],
|
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| 1701 |
"hf_private": true
|
| 1702 |
},
|
| 1703 |
{
|
| 1704 |
-
"name": "openai
|
| 1705 |
"type": "vision",
|
| 1706 |
"input_price_per_1m": 0.2,
|
| 1707 |
"output_price_per_1m": 1.25,
|
|
@@ -1724,12 +1739,12 @@
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|
| 1724 |
"hf_private": false
|
| 1725 |
},
|
| 1726 |
{
|
| 1727 |
-
"name": "
|
| 1728 |
"type": "chat",
|
| 1729 |
"input_price_per_1m": 0.2,
|
| 1730 |
-
"output_price_per_1m": 0.
|
| 1731 |
"currency": "USD",
|
| 1732 |
-
"context_window":
|
| 1733 |
"size_b": 235,
|
| 1734 |
"capabilities": [
|
| 1735 |
"tools",
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@@ -1739,46 +1754,17 @@
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| 1739 |
"hf_private": false
|
| 1740 |
},
|
| 1741 |
{
|
| 1742 |
-
"name": "
|
| 1743 |
"type": "chat",
|
| 1744 |
"input_price_per_1m": 0.2,
|
| 1745 |
-
"output_price_per_1m":
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| 1746 |
-
"currency": "USD",
|
| 1747 |
-
"context_window": 131072,
|
| 1748 |
-
"capabilities": [
|
| 1749 |
-
"tools",
|
| 1750 |
-
"reasoning"
|
| 1751 |
-
],
|
| 1752 |
-
"hf_id": "zai-org/GLM-4.5-Air",
|
| 1753 |
-
"size_b": 110.5,
|
| 1754 |
-
"hf_private": false
|
| 1755 |
-
},
|
| 1756 |
-
{
|
| 1757 |
-
"name": "alibaba/qwen3-30b-a3b-instruct-2507",
|
| 1758 |
-
"type": "vision",
|
| 1759 |
-
"input_price_per_1m": 0.2,
|
| 1760 |
-
"output_price_per_1m": 0.8,
|
| 1761 |
-
"currency": "USD",
|
| 1762 |
-
"capabilities": [
|
| 1763 |
-
"vision"
|
| 1764 |
-
],
|
| 1765 |
-
"context_window": 131072,
|
| 1766 |
-
"size_b": 30,
|
| 1767 |
-
"hf_id": "Qwen/Qwen3-30B-A3B-Instruct-2507",
|
| 1768 |
-
"hf_private": false
|
| 1769 |
-
},
|
| 1770 |
-
{
|
| 1771 |
-
"name": "deepinfra/Qwen/Qwen2.5-72B-Instruct",
|
| 1772 |
-
"type": "chat",
|
| 1773 |
-
"input_price_per_1m": 0.23,
|
| 1774 |
-
"output_price_per_1m": 0.4,
|
| 1775 |
"currency": "USD",
|
| 1776 |
-
"context_window":
|
| 1777 |
-
"size_b":
|
| 1778 |
"capabilities": [
|
| 1779 |
-
"vision"
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|
| 1780 |
],
|
| 1781 |
-
"hf_id": "Qwen/Qwen2.5-VL-72B-Instruct",
|
| 1782 |
"hf_private": false
|
| 1783 |
},
|
| 1784 |
{
|
|
@@ -1820,15 +1806,29 @@
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| 1820 |
"hf_private": false
|
| 1821 |
},
|
| 1822 |
{
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| 1823 |
-
"name": "
|
| 1824 |
"type": "chat",
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| 1825 |
"input_price_per_1m": 0.25,
|
| 1826 |
-
"output_price_per_1m":
|
| 1827 |
"currency": "USD",
|
| 1828 |
"capabilities": [
|
| 1829 |
-
"
|
| 1830 |
],
|
| 1831 |
-
"context_window":
|
| 1832 |
"hf_private": true
|
| 1833 |
},
|
| 1834 |
{
|
|
@@ -1867,15 +1867,15 @@
|
|
| 1867 |
"hf_private": true
|
| 1868 |
},
|
| 1869 |
{
|
| 1870 |
-
"name": "
|
| 1871 |
-
"type": "
|
| 1872 |
"input_price_per_1m": 0.25,
|
| 1873 |
-
"output_price_per_1m":
|
| 1874 |
"currency": "USD",
|
| 1875 |
"capabilities": [
|
| 1876 |
-
"
|
| 1877 |
],
|
| 1878 |
-
"context_window":
|
| 1879 |
"hf_private": true
|
| 1880 |
},
|
| 1881 |
{
|
|
@@ -1892,15 +1892,6 @@
|
|
| 1892 |
"size_b": 685.4,
|
| 1893 |
"hf_private": false
|
| 1894 |
},
|
| 1895 |
-
{
|
| 1896 |
-
"name": "deepseek/deepseek-reasoner",
|
| 1897 |
-
"type": "chat",
|
| 1898 |
-
"input_price_per_1m": 0.28,
|
| 1899 |
-
"output_price_per_1m": 0.42,
|
| 1900 |
-
"currency": "USD",
|
| 1901 |
-
"context_window": 128000,
|
| 1902 |
-
"hf_private": true
|
| 1903 |
-
},
|
| 1904 |
{
|
| 1905 |
"name": "deepseek/deepseek-chat",
|
| 1906 |
"type": "chat",
|
|
@@ -1916,6 +1907,15 @@
|
|
| 1916 |
"size_source": "manual",
|
| 1917 |
"hf_private": false
|
| 1918 |
},
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|
| 1919 |
{
|
| 1920 |
"name": "nebius/deepseek-ai/DeepSeek-V3.2",
|
| 1921 |
"type": "chat",
|
|
@@ -1945,50 +1945,67 @@
|
|
| 1945 |
"hf_private": false
|
| 1946 |
},
|
| 1947 |
{
|
| 1948 |
-
"name": "
|
| 1949 |
-
"type": "
|
| 1950 |
"input_price_per_1m": 0.3,
|
| 1951 |
-
"output_price_per_1m": 1
|
| 1952 |
"currency": "USD",
|
|
|
|
| 1953 |
"capabilities": [
|
| 1954 |
-
"
|
| 1955 |
"reasoning"
|
| 1956 |
],
|
| 1957 |
-
"
|
| 1958 |
-
"
|
| 1959 |
-
"
|
| 1960 |
-
"size_source": "manual",
|
| 1961 |
-
"hf_id": "MiniMaxAI/MiniMax-M2.7"
|
| 1962 |
},
|
| 1963 |
{
|
| 1964 |
-
"name": "
|
| 1965 |
"type": "chat",
|
| 1966 |
"input_price_per_1m": 0.3,
|
| 1967 |
-
"output_price_per_1m": 0.
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|
| 1968 |
"currency": "USD",
|
| 1969 |
-
"context_window": 12800,
|
| 1970 |
-
"size_b": 32,
|
| 1971 |
"capabilities": [
|
|
|
|
| 1972 |
"reasoning"
|
| 1973 |
],
|
| 1974 |
-
"
|
| 1975 |
-
"hf_private":
|
| 1976 |
},
|
| 1977 |
{
|
| 1978 |
-
"name": "
|
| 1979 |
"type": "vision",
|
| 1980 |
"input_price_per_1m": 0.3,
|
| 1981 |
-
"output_price_per_1m":
|
| 1982 |
"currency": "USD",
|
| 1983 |
"capabilities": [
|
| 1984 |
"vision",
|
| 1985 |
"reasoning"
|
| 1986 |
],
|
| 1987 |
-
"context_window":
|
| 1988 |
-
"hf_private":
|
| 1989 |
-
"size_b": 230,
|
| 1990 |
-
"size_source": "manual",
|
| 1991 |
-
"hf_id": "MiniMaxAI/MiniMax-M2.7"
|
| 1992 |
},
|
| 1993 |
{
|
| 1994 |
"name": "minimaxi/MiniMax-M2.7",
|
|
@@ -2049,17 +2066,7 @@
|
|
| 2049 |
"hf_private": true
|
| 2050 |
},
|
| 2051 |
{
|
| 2052 |
-
"name": "
|
| 2053 |
-
"type": "chat",
|
| 2054 |
-
"input_price_per_1m": 0.3,
|
| 2055 |
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"output_price_per_1m": 0.5,
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| 2056 |
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"currency": "USD",
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| 2057 |
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"context_window": 128000,
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| 2058 |
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"size_b": 27,
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| 2059 |
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"hf_private": false
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},
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| 2061 |
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{
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| 2062 |
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"name": "google/gemini-2.5-flash",
|
| 2063 |
"type": "vision",
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| 2064 |
"input_price_per_1m": 0.3,
|
| 2065 |
"output_price_per_1m": 2.5,
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@@ -2072,16 +2079,7 @@
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| 2072 |
"hf_private": true
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| 2073 |
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| 2074 |
{
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"name": "
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"type": "chat",
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| 2077 |
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"input_price_per_1m": 0.3,
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| 2078 |
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"output_price_per_1m": 0.9,
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| 2079 |
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"currency": "USD",
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"context_window": 131072,
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{
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| 2086 |
"input_price_per_1m": 0.3,
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| 2087 |
"output_price_per_1m": 2.5,
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@@ -2094,16 +2092,12 @@
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"hf_private": true
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| 2096 |
{
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"input_price_per_1m": 0.3,
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"currency": "USD",
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"context_window": 1048576,
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{
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"hf_private": false
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| 2119 |
{
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| 2122 |
"input_price_per_1m": 0.3,
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| 2123 |
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"currency": "USD",
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{
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| 2135 |
"input_price_per_1m": 0.3,
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| 2136 |
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"output_price_per_1m": 1,
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"currency": "USD",
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{
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"input_price_per_1m": 0.3,
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"currency": "USD",
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{
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"name": "deepinfra/meta-llama/Llama-3.2-90B-Vision-Instruct",
|
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@@ -2194,18 +2194,6 @@
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|
| 2194 |
"hf_private": false,
|
| 2195 |
"hf_id": "meta-llama/Llama-3.3-70B-Instruct"
|
| 2196 |
},
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| 2197 |
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{
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| 2198 |
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"name": "openai/gpt-4.1-mini",
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"type": "vision",
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"input_price_per_1m": 0.4,
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"output_price_per_1m": 1.6,
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"currency": "USD",
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"hf_private": true
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},
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| 2209 |
{
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| 2210 |
"name": "nebius/zai-org/GLM-4.7",
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| 2211 |
"type": "chat",
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@@ -2235,51 +2223,47 @@
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"hf_private": false
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| 2237 |
{
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"name": "
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| 2240 |
"input_price_per_1m": 0.4,
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| 2241 |
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"input_price_per_1m": 0.4,
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"output_price_per_1m": 1.
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"currency": "USD",
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"hf_id": "deepseek-ai/DeepSeek-V3-0324",
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{
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| 2264 |
"input_price_per_1m": 0.4,
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{
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"context_window": 1047576,
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{
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@@ -2295,25 +2279,19 @@
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"hf_private": true
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{
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| 2300 |
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"input_price_per_1m": 0.4,
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"output_price_per_1m": 2,
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"currency": "USD",
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"context_window": 256000,
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"hf_private": true
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},
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| 2306 |
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{
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| 2307 |
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"name": "mistral/mistral-medium-latest",
|
| 2308 |
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"type": "chat",
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| 2309 |
"input_price_per_1m": 0.4,
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{
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|
| 2317 |
"type": "vision",
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| 2318 |
"input_price_per_1m": 0.4,
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| 2319 |
"output_price_per_1m": 1.6,
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@@ -2325,44 +2303,52 @@
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"hf_private": true
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{
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{
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| 2368 |
"name": "nebius/moonshotai/kimi-k2.5",
|
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@@ -2395,7 +2381,21 @@
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"hf_private": false
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{
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"type": "vision",
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| 2400 |
"input_price_per_1m": 0.5,
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"output_price_per_1m": 2,
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@@ -2408,7 +2408,7 @@
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"hf_private": true
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},
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{
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"type": "vision",
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| 2413 |
"input_price_per_1m": 0.5,
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"output_price_per_1m": 3,
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@@ -2421,19 +2421,20 @@
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"hf_private": true
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},
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{
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"input_price_per_1m": 0.5,
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{
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"type": "vision",
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| 2438 |
"input_price_per_1m": 0.5,
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| 2439 |
"output_price_per_1m": 3,
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@@ -2446,16 +2447,15 @@
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"hf_private": true
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},
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{
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{
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@@ -2529,7 +2529,7 @@
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"hf_private": false
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{
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"name": "
|
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"type": "chat",
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| 2534 |
"input_price_per_1m": 0.6,
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| 2535 |
"output_price_per_1m": 2.2,
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@@ -2544,22 +2544,22 @@
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"hf_private": false
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{
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"currency": "USD",
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{
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"name": "minimaxi/MiniMax-M2.
|
| 2563 |
"type": "vision",
|
| 2564 |
"input_price_per_1m": 0.6,
|
| 2565 |
"output_price_per_1m": 2.4,
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@@ -2569,12 +2569,12 @@
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| 2569 |
"reasoning"
|
| 2570 |
],
|
| 2571 |
"context_window": 200000,
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{
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"name": "minimaxi/MiniMax-M2.
|
| 2578 |
"type": "vision",
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| 2579 |
"input_price_per_1m": 0.6,
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| 2580 |
"output_price_per_1m": 2.4,
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@@ -2584,9 +2584,9 @@
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| 2584 |
"reasoning"
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],
|
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"context_window": 200000,
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{
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| 2592 |
"name": "moonshot/kimi-k2-0711-preview",
|
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@@ -2661,7 +2661,22 @@
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| 2661 |
"hf_private": false
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{
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| 2665 |
"type": "chat",
|
| 2666 |
"input_price_per_1m": 0.6,
|
| 2667 |
"output_price_per_1m": 2.2,
|
|
@@ -2717,21 +2732,6 @@
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|
| 2717 |
"size_b": 358.3,
|
| 2718 |
"hf_private": false
|
| 2719 |
},
|
| 2720 |
-
{
|
| 2721 |
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"name": "alibaba/qwen3.5",
|
| 2722 |
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"type": "vision",
|
| 2723 |
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"input_price_per_1m": 0.6,
|
| 2724 |
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"output_price_per_1m": 3.6,
|
| 2725 |
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"currency": "USD",
|
| 2726 |
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"capabilities": [
|
| 2727 |
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|
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|
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],
|
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"context_window": 256000,
|
| 2731 |
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"size_b": 9,
|
| 2732 |
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"hf_id": "Qwen/Qwen3.5-9B",
|
| 2733 |
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"hf_private": false
|
| 2734 |
-
},
|
| 2735 |
{
|
| 2736 |
"name": "novita/microsoft/wizardlm-2-8x22b",
|
| 2737 |
"type": "chat",
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@@ -2757,19 +2757,16 @@
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|
| 2757 |
"hf_private": true
|
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},
|
| 2759 |
{
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|
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|
| 2762 |
"input_price_per_1m": 0.7,
|
| 2763 |
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|
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"currency": "USD",
|
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"context_window": 64000,
|
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|
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|
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|
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"size_source": "manual",
|
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|
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| 2775 |
{
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@@ -2783,20 +2780,23 @@
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"hf_private": false
|
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|
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{
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|
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|
| 2788 |
"input_price_per_1m": 0.7,
|
| 2789 |
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|
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|
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|
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|
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|
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{
|
| 2799 |
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"name": "openai/gpt-5.4-mini",
|
| 2800 |
"type": "vision",
|
| 2801 |
"input_price_per_1m": 0.75,
|
| 2802 |
"output_price_per_1m": 4.5,
|
|
@@ -2809,7 +2809,7 @@
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|
| 2809 |
"hf_private": true
|
| 2810 |
},
|
| 2811 |
{
|
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-
"name": "openai
|
| 2813 |
"type": "vision",
|
| 2814 |
"input_price_per_1m": 0.75,
|
| 2815 |
"output_price_per_1m": 4.5,
|
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@@ -2837,17 +2837,13 @@
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|
| 2837 |
"hf_private": false
|
| 2838 |
},
|
| 2839 |
{
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| 2840 |
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"name": "
|
| 2841 |
"type": "chat",
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| 2842 |
"input_price_per_1m": 0.8,
|
| 2843 |
"output_price_per_1m": 0.8,
|
| 2844 |
"currency": "USD",
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-
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"hf_id": "Qwen/Qwen2.5-VL-72B-Instruct",
|
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{
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"hf_private": false
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{
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| 2870 |
"input_price_per_1m": 0.8,
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| 2871 |
"output_price_per_1m": 0.8,
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"currency": "USD",
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"hf_private": false
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{
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"name": "deepinfra/deepseek-ai/DeepSeek-
|
| 2879 |
"type": "chat",
|
| 2880 |
"input_price_per_1m": 0.85,
|
| 2881 |
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"output_price_per_1m":
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"currency": "USD",
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"context_window":
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"capabilities": [
|
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"tools",
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| 2886 |
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|
| 2887 |
],
|
| 2888 |
-
"hf_id": "deepseek-ai/DeepSeek-
|
| 2889 |
"size_b": 671,
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|
| 2890 |
"hf_private": false
|
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},
|
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{
|
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-
"name": "deepinfra/deepseek-ai/DeepSeek-
|
| 2894 |
"type": "chat",
|
| 2895 |
"input_price_per_1m": 0.85,
|
| 2896 |
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|
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|
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|
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"hf_id": "deepseek-ai/DeepSeek-
|
| 2904 |
"size_b": 671,
|
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"size_source": "manual",
|
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{
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@@ -2965,32 +2965,40 @@
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"hf_private": true
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{
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"input_price_per_1m": 1,
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"currency": "USD",
|
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"context_window": 131072,
|
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"capabilities": [
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"
|
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|
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|
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"hf_private": false
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|
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{
|
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|
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"type": "chat",
|
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"input_price_per_1m": 1,
|
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|
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"
|
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|
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|
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"size_b": 1026.5,
|
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"hf_private": false
|
| 2994 |
},
|
| 2995 |
{
|
| 2996 |
"name": "openai/o3",
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@@ -3020,40 +3028,47 @@
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|
| 3020 |
"hf_private": false
|
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|
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{
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"name": "
|
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"type": "
|
| 3025 |
"input_price_per_1m": 1,
|
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"output_price_per_1m":
|
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"currency": "USD",
|
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"context_window": 131072,
|
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{
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|
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|
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|
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{
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|
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|
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|
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{
|
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"name": "bedrock/claude-haiku-4-5",
|
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@@ -3068,22 +3083,7 @@
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|
| 3068 |
"hf_private": true
|
| 3069 |
},
|
| 3070 |
{
|
| 3071 |
-
"name": "
|
| 3072 |
-
"type": "vision",
|
| 3073 |
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"input_price_per_1m": 1,
|
| 3074 |
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"output_price_per_1m": 3.2,
|
| 3075 |
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"currency": "USD",
|
| 3076 |
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"capabilities": [
|
| 3077 |
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"vision",
|
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|
| 3079 |
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],
|
| 3080 |
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"context_window": 200000,
|
| 3081 |
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"hf_id": "zai-org/GLM-5",
|
| 3082 |
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"size_b": 753.9,
|
| 3083 |
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"hf_private": false
|
| 3084 |
-
},
|
| 3085 |
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{
|
| 3086 |
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"name": "alibaba/qwen3-coder-plus",
|
| 3087 |
"type": "vision",
|
| 3088 |
"input_price_per_1m": 1,
|
| 3089 |
"output_price_per_1m": 5,
|
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@@ -3091,11 +3091,11 @@
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|
| 3091 |
"capabilities": [
|
| 3092 |
"vision"
|
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|
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"context_window":
|
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|
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},
|
| 3097 |
{
|
| 3098 |
-
"name": "openai/o3-mini",
|
| 3099 |
"type": "chat",
|
| 3100 |
"input_price_per_1m": 1.1,
|
| 3101 |
"output_price_per_1m": 4.4,
|
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@@ -3107,7 +3107,7 @@
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|
| 3107 |
"hf_private": true
|
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|
| 3109 |
{
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|
| 3111 |
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|
| 3112 |
"input_price_per_1m": 1.1,
|
| 3113 |
"output_price_per_1m": 4.4,
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@@ -3119,7 +3119,7 @@
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|
| 3119 |
"hf_private": true
|
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},
|
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{
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"name": "openai
|
| 3123 |
"type": "chat",
|
| 3124 |
"input_price_per_1m": 1.1,
|
| 3125 |
"output_price_per_1m": 4.4,
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@@ -3131,7 +3131,7 @@
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"hf_private": true
|
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|
| 3133 |
{
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"name": "
|
| 3135 |
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|
| 3136 |
"input_price_per_1m": 1.1,
|
| 3137 |
"output_price_per_1m": 4.4,
|
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@@ -3142,16 +3142,6 @@
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|
| 3142 |
"context_window": 200000,
|
| 3143 |
"hf_private": true
|
| 3144 |
},
|
| 3145 |
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{
|
| 3146 |
-
"name": "together/Qwen/Qwen2.5-72B-Instruct-Turbo",
|
| 3147 |
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"type": "chat",
|
| 3148 |
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"input_price_per_1m": 1.2,
|
| 3149 |
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"output_price_per_1m": 1.2,
|
| 3150 |
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"currency": "USD",
|
| 3151 |
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"context_window": 32768,
|
| 3152 |
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"size_b": 72,
|
| 3153 |
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"hf_private": false
|
| 3154 |
-
},
|
| 3155 |
{
|
| 3156 |
"name": "moonshot/kimi-k2-turbo-preview",
|
| 3157 |
"type": "chat",
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@@ -3167,20 +3157,17 @@
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|
| 3167 |
"hf_private": false
|
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{
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|
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|
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|
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"currency": "USD",
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"
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|
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|
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|
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"context_window": 128000,
|
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|
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|
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{
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"name": "
|
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"type": "vision",
|
| 3185 |
"input_price_per_1m": 1.25,
|
| 3186 |
"output_price_per_1m": 10,
|
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@@ -3189,11 +3176,11 @@
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|
| 3189 |
"vision",
|
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"reasoning"
|
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|
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"context_window":
|
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|
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{
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|
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"type": "vision",
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"input_price_per_1m": 1.25,
|
| 3199 |
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@@ -3202,35 +3189,37 @@
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|
| 3202 |
"vision",
|
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|
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|
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{
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"name": "
|
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"type": "
|
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"input_price_per_1m": 1.25,
|
| 3212 |
"output_price_per_1m": 10,
|
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"currency": "USD",
|
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"capabilities": [
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|
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|
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|
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{
|
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"name": "
|
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"type": "
|
| 3223 |
"input_price_per_1m": 1.25,
|
| 3224 |
"output_price_per_1m": 10,
|
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"currency": "USD",
|
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"capabilities": [
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|
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|
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|
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|
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|
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|
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{
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"name": "
|
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"type": "vision",
|
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"input_price_per_1m": 1.25,
|
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"output_price_per_1m": 10,
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@@ -3239,11 +3228,11 @@
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"vision",
|
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"reasoning"
|
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|
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"context_window":
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},
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{
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"name": "openai-responses/gpt-5.1",
|
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"type": "vision",
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"input_price_per_1m": 1.25,
|
| 3249 |
"output_price_per_1m": 10,
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@@ -3256,7 +3245,7 @@
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|
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"hf_private": true
|
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},
|
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{
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-
"name": "openai-responses/gpt-5
|
| 3260 |
"type": "vision",
|
| 3261 |
"input_price_per_1m": 1.25,
|
| 3262 |
"output_price_per_1m": 10,
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@@ -3269,7 +3258,7 @@
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"hf_private": true
|
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{
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"name": "openai
|
| 3273 |
"type": "vision",
|
| 3274 |
"input_price_per_1m": 1.25,
|
| 3275 |
"output_price_per_1m": 10,
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@@ -3282,7 +3271,7 @@
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|
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"hf_private": true
|
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},
|
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{
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| 3285 |
-
"name": "openai
|
| 3286 |
"type": "vision",
|
| 3287 |
"input_price_per_1m": 1.25,
|
| 3288 |
"output_price_per_1m": 10,
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@@ -3291,11 +3280,11 @@
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|
| 3291 |
"vision",
|
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"reasoning"
|
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|
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|
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|
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|
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{
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"name": "
|
| 3299 |
"type": "vision",
|
| 3300 |
"input_price_per_1m": 1.25,
|
| 3301 |
"output_price_per_1m": 10,
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@@ -3304,7 +3293,7 @@
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|
| 3304 |
"vision",
|
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"reasoning"
|
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|
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|
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|
| 3310 |
{
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@@ -3323,20 +3312,31 @@
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|
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"hf_private": false
|
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},
|
| 3325 |
{
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|
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"type": "
|
| 3328 |
"input_price_per_1m": 1.25,
|
| 3329 |
"output_price_per_1m": 10,
|
| 3330 |
"currency": "USD",
|
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"capabilities": [
|
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-
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|
| 3333 |
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|
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|
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|
| 3340 |
"type": "chat",
|
| 3341 |
"input_price_per_1m": 1.48,
|
| 3342 |
"output_price_per_1m": 1.48,
|
|
@@ -3346,7 +3346,7 @@
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|
| 3346 |
"hf_private": false
|
| 3347 |
},
|
| 3348 |
{
|
| 3349 |
-
"name": "novita/sao10k/
|
| 3350 |
"type": "chat",
|
| 3351 |
"input_price_per_1m": 1.48,
|
| 3352 |
"output_price_per_1m": 1.48,
|
|
@@ -3368,7 +3368,7 @@
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|
| 3368 |
"hf_private": true
|
| 3369 |
},
|
| 3370 |
{
|
| 3371 |
-
"name": "openai/gpt-5.2",
|
| 3372 |
"type": "vision",
|
| 3373 |
"input_price_per_1m": 1.75,
|
| 3374 |
"output_price_per_1m": 14,
|
|
@@ -3381,7 +3381,7 @@
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|
| 3381 |
"hf_private": true
|
| 3382 |
},
|
| 3383 |
{
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| 3384 |
-
"name": "openai/gpt-5.
|
| 3385 |
"type": "vision",
|
| 3386 |
"input_price_per_1m": 1.75,
|
| 3387 |
"output_price_per_1m": 14,
|
|
@@ -3390,11 +3390,11 @@
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|
| 3390 |
"vision",
|
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"reasoning"
|
| 3392 |
],
|
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"context_window":
|
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|
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|
| 3396 |
{
|
| 3397 |
-
"name": "openai/gpt-5.
|
| 3398 |
"type": "vision",
|
| 3399 |
"input_price_per_1m": 1.75,
|
| 3400 |
"output_price_per_1m": 14,
|
|
@@ -3403,23 +3403,24 @@
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|
| 3403 |
"vision",
|
| 3404 |
"reasoning"
|
| 3405 |
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|
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|
| 3407 |
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|
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|
| 3409 |
{
|
| 3410 |
-
"name": "
|
| 3411 |
-
"type": "
|
| 3412 |
"input_price_per_1m": 1.75,
|
| 3413 |
"output_price_per_1m": 14,
|
| 3414 |
"currency": "USD",
|
| 3415 |
"capabilities": [
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|
| 3416 |
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|
| 3417 |
],
|
| 3418 |
-
"context_window":
|
| 3419 |
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|
| 3420 |
},
|
| 3421 |
{
|
| 3422 |
-
"name": "
|
| 3423 |
"type": "vision",
|
| 3424 |
"input_price_per_1m": 1.75,
|
| 3425 |
"output_price_per_1m": 14,
|
|
@@ -3428,11 +3429,11 @@
|
|
| 3428 |
"vision",
|
| 3429 |
"reasoning"
|
| 3430 |
],
|
| 3431 |
-
"context_window":
|
| 3432 |
"hf_private": true
|
| 3433 |
},
|
| 3434 |
{
|
| 3435 |
-
"name": "
|
| 3436 |
"type": "vision",
|
| 3437 |
"input_price_per_1m": 1.75,
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| 3438 |
"output_price_per_1m": 14,
|
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@@ -3441,11 +3442,11 @@
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| 3441 |
"vision",
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| 3442 |
"reasoning"
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| 3443 |
],
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-
"context_window":
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"hf_private": true
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| 3446 |
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| 3447 |
{
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| 3448 |
-
"name": "openai
|
| 3449 |
"type": "vision",
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| 3450 |
"input_price_per_1m": 1.75,
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| 3451 |
"output_price_per_1m": 14,
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@@ -3458,20 +3459,19 @@
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| 3458 |
"hf_private": true
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| 3460 |
{
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"name": "
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"type": "
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| 3463 |
"input_price_per_1m": 1.75,
|
| 3464 |
"output_price_per_1m": 14,
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| 3465 |
"currency": "USD",
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| 3466 |
"capabilities": [
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| 3468 |
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{
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"name": "
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| 3475 |
"type": "vision",
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| 3476 |
"input_price_per_1m": 1.75,
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| 3477 |
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@@ -3480,11 +3480,11 @@
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| 3480 |
"vision",
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| 3481 |
"reasoning"
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"context_window":
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{
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"name": "openai-responses/gpt-5.2",
|
| 3488 |
"type": "vision",
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| 3489 |
"input_price_per_1m": 1.75,
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| 3490 |
"output_price_per_1m": 14,
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@@ -3497,74 +3497,64 @@
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"hf_private": true
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| 3499 |
{
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"type": "
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"input_price_per_1m": 2,
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"output_price_per_1m": 8,
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"currency": "USD",
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"capabilities": [
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{
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"name": "openai/o4-mini-deep-research",
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"context_window": 100000,
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{
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{
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"currency": "USD",
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"context_window": 131072,
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{
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"name": "
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| 3548 |
"type": "vision",
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"input_price_per_1m": 2,
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"output_price_per_1m":
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| 3551 |
"currency": "USD",
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| 3552 |
"capabilities": [
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{
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| 3560 |
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"type": "
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| 3561 |
"input_price_per_1m": 2,
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| 3562 |
"output_price_per_1m": 8,
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"currency": "USD",
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"capabilities": [
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"context_window": 1047576,
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| 3570 |
{
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@@ -3590,7 +3580,7 @@
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"hf_private": true
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},
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| 3592 |
{
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-
"name": "google/gemini-3-pro-preview",
|
| 3594 |
"type": "vision",
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| 3595 |
"input_price_per_1m": 2,
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| 3596 |
"output_price_per_1m": 12,
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@@ -3603,7 +3593,7 @@
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"hf_private": true
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{
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"name": "google/gemini-3
|
| 3607 |
"type": "vision",
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"input_price_per_1m": 2,
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"output_price_per_1m": 12,
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@@ -3637,58 +3627,56 @@
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"hf_private": true
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{
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{
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"capabilities": [
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{
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"capabilities": [
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{
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|
| 3680 |
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| 3681 |
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| 3683 |
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"capabilities": [
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{
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"name": "openai/gpt-5.4",
|
| 3692 |
"type": "vision",
|
| 3693 |
"input_price_per_1m": 2.5,
|
| 3694 |
"output_price_per_1m": 15,
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@@ -3701,19 +3689,7 @@
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"hf_private": true
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},
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| 3703 |
{
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| 3704 |
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"name": "openai/gpt-4o-2024-
|
| 3705 |
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"type": "vision",
|
| 3706 |
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"input_price_per_1m": 2.5,
|
| 3707 |
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"output_price_per_1m": 10,
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"currency": "USD",
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| 3709 |
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"capabilities": [
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{
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"name": "openai/gpt-4o-2024-05-13",
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"type": "vision",
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| 3718 |
"input_price_per_1m": 2.5,
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| 3719 |
"output_price_per_1m": 10,
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@@ -3737,7 +3713,7 @@
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"hf_private": true
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{
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@@ -3750,44 +3726,44 @@
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"hf_private": true
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{
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"name": "openai
|
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"type": "vision",
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| 3755 |
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{
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"currency": "USD",
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"context_window": 204800,
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|
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{
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"type": "vision",
|
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"output_price_per_1m": 15,
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"currency": "USD",
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"capabilities": [
|
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{
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"type": "vision",
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"input_price_per_1m": 3,
|
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"output_price_per_1m": 15,
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@@ -3796,11 +3772,11 @@
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| 3796 |
"vision",
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{
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@@ -3809,11 +3785,11 @@
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| 3809 |
"vision",
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{
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"type": "vision",
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@@ -3822,7 +3798,7 @@
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"vision",
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"reasoning"
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{
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@@ -3838,33 +3814,31 @@
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"hf_private": true
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{
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"context_window": 200000,
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{
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"name": "
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"input_price_per_1m": 3,
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"output_price_per_1m": 15,
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"currency": "USD",
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"capabilities": [
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{
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"name": "
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"type": "vision",
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"input_price_per_1m": 3,
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@@ -3893,7 +3867,7 @@
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"hf_private": false
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},
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{
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"name": "bedrock/claude-
|
| 3897 |
"type": "vision",
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"input_price_per_1m": 3,
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| 3899 |
"output_price_per_1m": 15,
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@@ -3902,11 +3876,11 @@
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| 3902 |
"vision",
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},
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{
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"name": "bedrock/claude-
|
| 3910 |
"type": "vision",
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| 3911 |
"input_price_per_1m": 3,
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@@ -3932,7 +3906,7 @@
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| 3932 |
"hf_private": true
|
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},
|
| 3934 |
{
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-
"name": "bedrock/claude-sonnet-4",
|
| 3936 |
"type": "vision",
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"input_price_per_1m": 3,
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| 3938 |
"output_price_per_1m": 15,
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@@ -3941,11 +3915,11 @@
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"vision",
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{
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@@ -3954,7 +3928,33 @@
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"vision",
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{
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@@ -3974,57 +3974,57 @@
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"hf_private": false
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{
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|
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{
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{
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{
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{
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{
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"currency": "USD",
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"capabilities": [
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{
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{
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{
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{
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"hf_private": true
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{
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"hf_private": true
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{
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"hf_private": true
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{
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"name": "openai/gpt-5.4-pro",
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{
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"hf_private": true
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{
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"name": "openai-responses/gpt-5.4-pro",
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"name": "openai/o1",
|
| 4145 |
"type": "vision",
|
| 4146 |
"input_price_per_1m": 15,
|
| 4147 |
+
"output_price_per_1m": 60,
|
| 4148 |
"currency": "USD",
|
| 4149 |
"capabilities": [
|
| 4150 |
"vision",
|
|
|
|
| 4154 |
"hf_private": true
|
| 4155 |
},
|
| 4156 |
{
|
| 4157 |
+
"name": "bedrock/claude-opus-4",
|
| 4158 |
"type": "vision",
|
| 4159 |
"input_price_per_1m": 15,
|
| 4160 |
"output_price_per_1m": 75,
|
|
|
|
| 4167 |
"hf_private": true
|
| 4168 |
},
|
| 4169 |
{
|
| 4170 |
+
"name": "anthropic/claude-opus-4",
|
| 4171 |
"type": "vision",
|
| 4172 |
"input_price_per_1m": 15,
|
| 4173 |
"output_price_per_1m": 75,
|
|
|
|
| 4180 |
"hf_private": true
|
| 4181 |
},
|
| 4182 |
{
|
| 4183 |
+
"name": "anthropic/claude-opus-4-1",
|
| 4184 |
"type": "vision",
|
| 4185 |
"input_price_per_1m": 15,
|
| 4186 |
"output_price_per_1m": 75,
|
|
|
|
| 4206 |
"hf_private": true
|
| 4207 |
},
|
| 4208 |
{
|
| 4209 |
+
"name": "openai-responses/gpt-5.4-pro",
|
| 4210 |
"type": "vision",
|
| 4211 |
"input_price_per_1m": 30,
|
| 4212 |
"output_price_per_1m": 180,
|
|
|
|
| 4219 |
"hf_private": true
|
| 4220 |
},
|
| 4221 |
{
|
| 4222 |
+
"name": "openai/gpt-5.4-pro",
|
| 4223 |
"type": "vision",
|
| 4224 |
"input_price_per_1m": 30,
|
| 4225 |
"output_price_per_1m": 180,
|
|
|
|
| 4232 |
"hf_private": true
|
| 4233 |
},
|
| 4234 |
{
|
| 4235 |
+
"name": "azure/openai-responses/gpt-5.4-pro",
|
| 4236 |
"type": "vision",
|
| 4237 |
"input_price_per_1m": 30,
|
| 4238 |
"output_price_per_1m": 180,
|
scripts/fetch-benchmarks.js
CHANGED
|
@@ -604,6 +604,69 @@ function mergeMTEB(entries, mtebEntries) {
|
|
| 604 |
return [...entries, ...newEntries];
|
| 605 |
}
|
| 606 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 607 |
// ─── Merge ───────────────────────────────────────────────────────────────────
|
| 608 |
|
| 609 |
function mergeEntries(llmstats, hfEntries) {
|
|
@@ -647,10 +710,11 @@ const SOURCE_FIELDS = {
|
|
| 647 |
aider: ['aider_model', 'aider_pass_rate'],
|
| 648 |
aa: ['aa_id', 'aa_intelligence', 'aa_coding', 'aa_math', 'aa_mmlu_pro', 'aa_gpqa', 'aa_livecodebench', 'aa_hle', 'aa_scicode', 'aa_math_500', 'aa_aime', 'aa_tokens_per_s', 'aa_latency_s'],
|
| 649 |
mteb: ['mteb_avg', 'mteb_retrieval'],
|
|
|
|
| 650 |
};
|
| 651 |
|
| 652 |
const SOURCE_ID_FIELD = {
|
| 653 |
-
llmstats: 'slug', hf: 'hf_id', livebench: 'lb_name', arena: 'arena_elo', aider: 'aider_pass_rate', aa: 'aa_intelligence', mteb: 'mteb_avg',
|
| 654 |
};
|
| 655 |
|
| 656 |
async function refreshSource(source) {
|
|
@@ -672,6 +736,7 @@ async function refreshSource(source) {
|
|
| 672 |
else if (source === 'aider') result = mergeAider(stripped, await fetchAider());
|
| 673 |
else if (source === 'aa') result = mergeArtificialAnalysis(stripped, await fetchArtificialAnalysis());
|
| 674 |
else if (source === 'mteb') result = mergeMTEB(stripped, await fetchMTEB());
|
|
|
|
| 675 |
fs.writeFileSync(OUT_FILE, JSON.stringify(result, null, 2));
|
| 676 |
}
|
| 677 |
|
|
@@ -774,10 +839,11 @@ async function main() {
|
|
| 774 |
const withAi = mergeAider(withAr, aiderEntries);
|
| 775 |
const withAA = mergeArtificialAnalysis(withAi, aaEntries);
|
| 776 |
const withMTEB = mergeMTEB(withAA, mtebEntries);
|
| 777 |
-
const
|
|
|
|
| 778 |
|
| 779 |
console.log(`\nTotal entries: ${all.length}`);
|
| 780 |
-
console.log(` With LiveBench: ${all.filter(e => e.lb_name).length} | Arena: ${all.filter(e => e.arena_elo).length} | Aider: ${all.filter(e => e.aider_pass_rate !== undefined).length} | AA: ${all.filter(e => e.aa_intelligence !== undefined).length} | MTEB: ${all.filter(e => e.mteb_avg !== undefined).length}`);
|
| 781 |
|
| 782 |
fs.writeFileSync(OUT_FILE, JSON.stringify(all, null, 2));
|
| 783 |
console.log(`Saved to data/benchmarks.json (${(fs.statSync(OUT_FILE).size / 1024).toFixed(0)} KB)`);
|
|
|
|
| 604 |
return [...entries, ...newEntries];
|
| 605 |
}
|
| 606 |
|
| 607 |
+
// ─── OCR Benchmarks ────────────────────────────────────────────────────────
|
| 608 |
+
|
| 609 |
+
function mergeOCR(entries) {
|
| 610 |
+
const ocrData = [
|
| 611 |
+
{ name: 'datalab-to/chandra-ocr-2', score: 85.9 },
|
| 612 |
+
{ name: 'rednote-hilab/dots.mocr', score: 83.9 },
|
| 613 |
+
{ name: 'lightonai/LightOnOCR-2-1B', score: 83.2 },
|
| 614 |
+
{ name: 'datalab-to/chandra', score: 83.1 },
|
| 615 |
+
{ name: 'infly/Infinity-Parser-7B', score: 82.5 },
|
| 616 |
+
{ name: 'allenai/olmOCR-2-7B-1025-FP8', score: 82.4 },
|
| 617 |
+
{ name: 'PaddlePaddle/PaddleOCR-VL', score: 80.0 },
|
| 618 |
+
{ name: 'baidu/Qianfan-OCR', score: 79.8 },
|
| 619 |
+
{ name: 'rednote-hilab/dots.ocr', score: 79.1 },
|
| 620 |
+
{ name: 'deepseek-ai/DeepSeek-OCR-2', score: 76.3 },
|
| 621 |
+
{ name: 'lightonai/LightOnOCR-1B-1025', score: 76.1 },
|
| 622 |
+
{ name: 'deepseek-ai/DeepSeek-OCR', score: 75.7 },
|
| 623 |
+
{ name: 'opendatalab/MinerU2.5-2509-1.2B', score: 75.2 },
|
| 624 |
+
{ name: 'zai-org/GLM-OCR', score: 75.2 },
|
| 625 |
+
{ name: 'FireRedTeam/FireRed-OCR', score: 70.2 },
|
| 626 |
+
{ name: 'nanonets/Nanonets-OCR2-3B', score: 69.5 },
|
| 627 |
+
];
|
| 628 |
+
|
| 629 |
+
const ocrMap = new Map();
|
| 630 |
+
ocrData.forEach(d => {
|
| 631 |
+
ocrMap.set(normName(d.name), d);
|
| 632 |
+
const modelPart = d.name.split('/').pop();
|
| 633 |
+
if (modelPart) ocrMap.set(normName(modelPart), d);
|
| 634 |
+
});
|
| 635 |
+
|
| 636 |
+
let matched = 0;
|
| 637 |
+
const usedOcr = new Set();
|
| 638 |
+
for (const e of entries) {
|
| 639 |
+
const candidates = [
|
| 640 |
+
normName(e.name || ''),
|
| 641 |
+
normName((e.hf_id || '').split('/').pop() || ''),
|
| 642 |
+
normName(e.hf_id || '')
|
| 643 |
+
].filter(Boolean);
|
| 644 |
+
|
| 645 |
+
const ocr = candidates.map(c => ocrMap.get(c)).find(Boolean);
|
| 646 |
+
if (ocr) {
|
| 647 |
+
e.ocr_avg = ocr.score;
|
| 648 |
+
e.sources = { ...(e.sources || {}), ocr_avg: 'manual' };
|
| 649 |
+
matched++;
|
| 650 |
+
usedOcr.add(ocr.name);
|
| 651 |
+
}
|
| 652 |
+
}
|
| 653 |
+
|
| 654 |
+
const newEntries = [];
|
| 655 |
+
ocrData.forEach(d => {
|
| 656 |
+
if (!usedOcr.has(d.name)) {
|
| 657 |
+
newEntries.push({
|
| 658 |
+
hf_id: d.name,
|
| 659 |
+
name: d.name.split('/').pop(),
|
| 660 |
+
ocr_avg: d.score,
|
| 661 |
+
sources: { ocr_avg: 'manual' }
|
| 662 |
+
});
|
| 663 |
+
}
|
| 664 |
+
});
|
| 665 |
+
|
| 666 |
+
console.log(` OCR: ${matched} matched, ${newEntries.length} new entries`);
|
| 667 |
+
return [...entries, ...newEntries];
|
| 668 |
+
}
|
| 669 |
+
|
| 670 |
// ─── Merge ───────────────────────────────────────────────────────────────────
|
| 671 |
|
| 672 |
function mergeEntries(llmstats, hfEntries) {
|
|
|
|
| 710 |
aider: ['aider_model', 'aider_pass_rate'],
|
| 711 |
aa: ['aa_id', 'aa_intelligence', 'aa_coding', 'aa_math', 'aa_mmlu_pro', 'aa_gpqa', 'aa_livecodebench', 'aa_hle', 'aa_scicode', 'aa_math_500', 'aa_aime', 'aa_tokens_per_s', 'aa_latency_s'],
|
| 712 |
mteb: ['mteb_avg', 'mteb_retrieval'],
|
| 713 |
+
ocr: ['ocr_avg'],
|
| 714 |
};
|
| 715 |
|
| 716 |
const SOURCE_ID_FIELD = {
|
| 717 |
+
llmstats: 'slug', hf: 'hf_id', livebench: 'lb_name', arena: 'arena_elo', aider: 'aider_pass_rate', aa: 'aa_intelligence', mteb: 'mteb_avg', ocr: 'ocr_avg',
|
| 718 |
};
|
| 719 |
|
| 720 |
async function refreshSource(source) {
|
|
|
|
| 736 |
else if (source === 'aider') result = mergeAider(stripped, await fetchAider());
|
| 737 |
else if (source === 'aa') result = mergeArtificialAnalysis(stripped, await fetchArtificialAnalysis());
|
| 738 |
else if (source === 'mteb') result = mergeMTEB(stripped, await fetchMTEB());
|
| 739 |
+
else if (source === 'ocr') result = mergeOCR(stripped);
|
| 740 |
fs.writeFileSync(OUT_FILE, JSON.stringify(result, null, 2));
|
| 741 |
}
|
| 742 |
|
|
|
|
| 839 |
const withAi = mergeAider(withAr, aiderEntries);
|
| 840 |
const withAA = mergeArtificialAnalysis(withAi, aaEntries);
|
| 841 |
const withMTEB = mergeMTEB(withAA, mtebEntries);
|
| 842 |
+
const withReadme = mergeMTEB(withMTEB, readmeEntries);
|
| 843 |
+
const all = mergeOCR(withReadme);
|
| 844 |
|
| 845 |
console.log(`\nTotal entries: ${all.length}`);
|
| 846 |
+
console.log(` With LiveBench: ${all.filter(e => e.lb_name).length} | Arena: ${all.filter(e => e.arena_elo).length} | Aider: ${all.filter(e => e.aider_pass_rate !== undefined).length} | AA: ${all.filter(e => e.aa_intelligence !== undefined).length} | MTEB: ${all.filter(e => e.mteb_avg !== undefined).length} | OCR: ${all.filter(e => e.ocr_avg !== undefined).length}`);
|
| 847 |
|
| 848 |
fs.writeFileSync(OUT_FILE, JSON.stringify(all, null, 2));
|
| 849 |
console.log(`Saved to data/benchmarks.json (${(fs.statSync(OUT_FILE).size / 1024).toFixed(0)} KB)`);
|
scripts/fetch-providers.js
CHANGED
|
@@ -221,6 +221,8 @@ const MANUAL_HF_ID_MAP = {
|
|
| 221 |
'bge-multilingual-gemma2': 'BAAI/bge-multilingual-gemma2',
|
| 222 |
'bge-en-icl': 'BAAI/bge-en-icl',
|
| 223 |
'wizardlm 2 8x22b': 'alpindale/WizardLM-2-8x22B',
|
|
|
|
|
|
|
| 224 |
};
|
| 225 |
|
| 226 |
const MANUAL_OLLAMA_ID_MAP = {
|
|
|
|
| 221 |
'bge-multilingual-gemma2': 'BAAI/bge-multilingual-gemma2',
|
| 222 |
'bge-en-icl': 'BAAI/bge-en-icl',
|
| 223 |
'wizardlm 2 8x22b': 'alpindale/WizardLM-2-8x22B',
|
| 224 |
+
'parasail-kimi-k2-instruct': 'moonshotai/Kimi-K2-Instruct',
|
| 225 |
+
'grok-2-1212': 'xai-org/grok-2',
|
| 226 |
};
|
| 227 |
|
| 228 |
const MANUAL_OLLAMA_ID_MAP = {
|
scripts/validate-hf-ids.js
ADDED
|
@@ -0,0 +1,98 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
'use strict';
|
| 2 |
+
|
| 3 |
+
const fs = require('fs');
|
| 4 |
+
const path = require('path');
|
| 5 |
+
const { fetchRobust } = require('./fetch-utils');
|
| 6 |
+
|
| 7 |
+
const PROVIDERS_FILE = path.join(__dirname, '..', 'data', 'providers.json');
|
| 8 |
+
|
| 9 |
+
async function checkHfId(hfId) {
|
| 10 |
+
if (!hfId) return { valid: true, status: 'N/A' };
|
| 11 |
+
const url = `https://huggingface.co/${hfId}`;
|
| 12 |
+
try {
|
| 13 |
+
const res = await fetchRobust(url, { method: 'HEAD', retries: 1 });
|
| 14 |
+
if (res.status === 200 || res.status === 302) {
|
| 15 |
+
return { valid: true, status: res.status };
|
| 16 |
+
}
|
| 17 |
+
return { valid: false, status: res.status };
|
| 18 |
+
} catch (e) {
|
| 19 |
+
if (e.message.includes('404')) return { valid: false, status: 404 };
|
| 20 |
+
return { valid: true, status: 'Error (Assume valid)' };
|
| 21 |
+
}
|
| 22 |
+
}
|
| 23 |
+
|
| 24 |
+
async function main() {
|
| 25 |
+
console.log('Starting Hugging Face Repository Validation...\n');
|
| 26 |
+
|
| 27 |
+
const data = JSON.parse(fs.readFileSync(PROVIDERS_FILE, 'utf8'));
|
| 28 |
+
const hfIdToModels = new Map();
|
| 29 |
+
|
| 30 |
+
data.providers.forEach(p => {
|
| 31 |
+
p.models.forEach(m => {
|
| 32 |
+
if (m.hf_id) {
|
| 33 |
+
if (!hfIdToModels.has(m.hf_id)) hfIdToModels.set(m.hf_id, []);
|
| 34 |
+
hfIdToModels.get(m.hf_id).push(`${p.name}: ${m.name}`);
|
| 35 |
+
}
|
| 36 |
+
});
|
| 37 |
+
});
|
| 38 |
+
|
| 39 |
+
const ids = Array.from(hfIdToModels.keys());
|
| 40 |
+
console.log(`Found ${ids.length} unique HF IDs to validate across all providers.\n`);
|
| 41 |
+
|
| 42 |
+
const invalidIds = new Set();
|
| 43 |
+
const results = {
|
| 44 |
+
valid: 0,
|
| 45 |
+
invalid: 0,
|
| 46 |
+
errors: 0
|
| 47 |
+
};
|
| 48 |
+
|
| 49 |
+
for (let i = 0; i < ids.length; i++) {
|
| 50 |
+
const id = ids[i];
|
| 51 |
+
const progress = `[${i + 1}/${ids.length}]`.padEnd(10);
|
| 52 |
+
|
| 53 |
+
const check = await checkHfId(id);
|
| 54 |
+
|
| 55 |
+
if (check.valid) {
|
| 56 |
+
results.valid++;
|
| 57 |
+
console.log(`${progress} ✓ VALID (${check.status}) ${id}`);
|
| 58 |
+
} else {
|
| 59 |
+
results.invalid++;
|
| 60 |
+
console.log(`${progress} ✗ INVALID (${check.status}) ${id}`);
|
| 61 |
+
console.log(` Used by: ${hfIdToModels.get(id).join(', ')}`);
|
| 62 |
+
invalidIds.add(id);
|
| 63 |
+
}
|
| 64 |
+
|
| 65 |
+
// Small delay to prevent rate limiting
|
| 66 |
+
await new Promise(r => setTimeout(r, 50));
|
| 67 |
+
}
|
| 68 |
+
|
| 69 |
+
console.log('\n' + '='.repeat(50));
|
| 70 |
+
console.log('VALIDATION SUMMARY');
|
| 71 |
+
console.log('='.repeat(50));
|
| 72 |
+
console.log(`Total Unique IDs: ${ids.length}`);
|
| 73 |
+
console.log(`Valid IDs: ${results.valid}`);
|
| 74 |
+
console.log(`Invalid (404s): ${results.invalid}`);
|
| 75 |
+
console.log('='.repeat(50));
|
| 76 |
+
|
| 77 |
+
if (invalidIds.size > 0) {
|
| 78 |
+
console.log(`\nAction: Removing ${invalidIds.size} invalid HF IDs from providers.json...`);
|
| 79 |
+
let removalCount = 0;
|
| 80 |
+
data.providers.forEach(p => {
|
| 81 |
+
p.models.forEach(m => {
|
| 82 |
+
if (m.hf_id && invalidIds.has(m.hf_id)) {
|
| 83 |
+
delete m.hf_id;
|
| 84 |
+
removalCount++;
|
| 85 |
+
}
|
| 86 |
+
});
|
| 87 |
+
});
|
| 88 |
+
fs.writeFileSync(PROVIDERS_FILE, JSON.stringify(data, null, 2));
|
| 89 |
+
console.log(`Successfully removed ${removalCount} occurrences.`);
|
| 90 |
+
} else {
|
| 91 |
+
console.log('\nSuccess: All checked HF IDs exist on Hugging Face.');
|
| 92 |
+
}
|
| 93 |
+
}
|
| 94 |
+
|
| 95 |
+
main().catch(err => {
|
| 96 |
+
console.error('\nFatal error during validation:', err);
|
| 97 |
+
process.exit(1);
|
| 98 |
+
});
|
src/App.tsx
CHANGED
|
@@ -99,6 +99,8 @@ interface BenchmarkEntry {
|
|
| 99 |
// MTEB (Massive Text Embedding Benchmark)
|
| 100 |
mteb_avg?: number;
|
| 101 |
mteb_retrieval?: number;
|
|
|
|
|
|
|
| 102 |
}
|
| 103 |
|
| 104 |
const normalizeName = (s?: string) =>
|
|
@@ -370,7 +372,8 @@ function App() {
|
|
| 370 |
case 'aa_intelligence':
|
| 371 |
case 'aa_tokens_per_s':
|
| 372 |
case 'mteb_avg':
|
| 373 |
-
case 'mteb_retrieval':
|
|
|
|
| 374 |
try {
|
| 375 |
const bA = findBenchmark(a.name);
|
| 376 |
const bB = findBenchmark(b.name);
|
|
@@ -527,6 +530,7 @@ function App() {
|
|
| 527 |
<th onClick={() => requestSort('aa_tokens_per_s')} className="sortable" title="Artificial Analysis Median Speed (Tokens per Second)">AA Speed {getSortIcon('aa_tokens_per_s')}</th>
|
| 528 |
<th onClick={() => requestSort('mteb_avg')} className="sortable" title="MTEB (Massive Text Embedding Benchmark) Average">MTEB {getSortIcon('mteb_avg')}</th>
|
| 529 |
<th onClick={() => requestSort('mteb_retrieval')} className="sortable" title="MTEB Retrieval Average">MTEB-Ret {getSortIcon('mteb_retrieval')}</th>
|
|
|
|
| 530 |
<th onClick={() => requestSort('lb_global')} className="sortable" title="LiveBench overall average (contamination-free)">LB {getSortIcon('lb_global')}</th>
|
| 531 |
<th onClick={() => requestSort('lb_math')} className="sortable" title="LiveBench Mathematics">LB-Math {getSortIcon('lb_math')}</th>
|
| 532 |
<th onClick={() => requestSort('lb_coding')} className="sortable" title="LiveBench Coding + Agentic Coding">LB-Code {getSortIcon('lb_coding')}</th>
|
|
@@ -632,6 +636,7 @@ function App() {
|
|
| 632 |
<td className="benchmark-cell">{fmtNum(bm?.aa_tokens_per_s)}</td>
|
| 633 |
<td className="benchmark-cell">{fmtNum(bm?.mteb_avg, 1)}</td>
|
| 634 |
<td className="benchmark-cell">{fmtNum(bm?.mteb_retrieval, 1)}</td>
|
|
|
|
| 635 |
<td className="benchmark-cell">{fmtPct(bm?.lb_global)}</td>
|
| 636 |
<td className="benchmark-cell">{fmtPct(bm?.lb_math)}</td>
|
| 637 |
<td className="benchmark-cell">{fmtPct(bm?.lb_coding)}</td>
|
|
@@ -646,7 +651,7 @@ function App() {
|
|
| 646 |
<td className="benchmark-cell">{fmtPct(bm?.human_eval)}</td>
|
| 647 |
</>;
|
| 648 |
} catch (e) {
|
| 649 |
-
return Array(
|
| 650 |
}
|
| 651 |
})()}
|
| 652 |
</tr>
|
|
|
|
| 99 |
// MTEB (Massive Text Embedding Benchmark)
|
| 100 |
mteb_avg?: number;
|
| 101 |
mteb_retrieval?: number;
|
| 102 |
+
// OCR Benchmark
|
| 103 |
+
ocr_avg?: number;
|
| 104 |
}
|
| 105 |
|
| 106 |
const normalizeName = (s?: string) =>
|
|
|
|
| 372 |
case 'aa_intelligence':
|
| 373 |
case 'aa_tokens_per_s':
|
| 374 |
case 'mteb_avg':
|
| 375 |
+
case 'mteb_retrieval':
|
| 376 |
+
case 'ocr_avg': {
|
| 377 |
try {
|
| 378 |
const bA = findBenchmark(a.name);
|
| 379 |
const bB = findBenchmark(b.name);
|
|
|
|
| 530 |
<th onClick={() => requestSort('aa_tokens_per_s')} className="sortable" title="Artificial Analysis Median Speed (Tokens per Second)">AA Speed {getSortIcon('aa_tokens_per_s')}</th>
|
| 531 |
<th onClick={() => requestSort('mteb_avg')} className="sortable" title="MTEB (Massive Text Embedding Benchmark) Average">MTEB {getSortIcon('mteb_avg')}</th>
|
| 532 |
<th onClick={() => requestSort('mteb_retrieval')} className="sortable" title="MTEB Retrieval Average">MTEB-Ret {getSortIcon('mteb_retrieval')}</th>
|
| 533 |
+
<th onClick={() => requestSort('ocr_avg')} className="sortable" title="OCR (Optical Character Recognition) Benchmark">OCR {getSortIcon('ocr_avg')}</th>
|
| 534 |
<th onClick={() => requestSort('lb_global')} className="sortable" title="LiveBench overall average (contamination-free)">LB {getSortIcon('lb_global')}</th>
|
| 535 |
<th onClick={() => requestSort('lb_math')} className="sortable" title="LiveBench Mathematics">LB-Math {getSortIcon('lb_math')}</th>
|
| 536 |
<th onClick={() => requestSort('lb_coding')} className="sortable" title="LiveBench Coding + Agentic Coding">LB-Code {getSortIcon('lb_coding')}</th>
|
|
|
|
| 636 |
<td className="benchmark-cell">{fmtNum(bm?.aa_tokens_per_s)}</td>
|
| 637 |
<td className="benchmark-cell">{fmtNum(bm?.mteb_avg, 1)}</td>
|
| 638 |
<td className="benchmark-cell">{fmtNum(bm?.mteb_retrieval, 1)}</td>
|
| 639 |
+
<td className="benchmark-cell">{fmtNum(bm?.ocr_avg, 1)}</td>
|
| 640 |
<td className="benchmark-cell">{fmtPct(bm?.lb_global)}</td>
|
| 641 |
<td className="benchmark-cell">{fmtPct(bm?.lb_math)}</td>
|
| 642 |
<td className="benchmark-cell">{fmtPct(bm?.lb_coding)}</td>
|
|
|
|
| 651 |
<td className="benchmark-cell">{fmtPct(bm?.human_eval)}</td>
|
| 652 |
</>;
|
| 653 |
} catch (e) {
|
| 654 |
+
return Array(19).fill(null).map((_, i) => <td key={i} className="benchmark-cell">–</td>);
|
| 655 |
}
|
| 656 |
})()}
|
| 657 |
</tr>
|