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MMTR-Bench-Dataset

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@@ -56,7 +56,7 @@ The benchmark assesses models using a specialized level-aware scoring mechanism
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  | Doubao-Seed2-Medium | ✅ | 37.06 | 31.96 | 52.46 | 36.10 | 33.63 | 31.28 | 36.13 |
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  | GPT5.2-Medium | ✅ | 35.39 | 36.61 | 50.27 | 37.22 | 32.72 | 30.51 | 35.61 |
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  | Qwen3.5-397B-A17B | ✅ | 34.67 | 30.10 | 48.39 | 34.67 | 31.46 | 26.68 | 33.84 |
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- | Qwen3.5-112B-A10B | ✅ | 30.37 | 23.94 | 43.91 | 27.23 | 27.84 | 23.92 | 29.20 |
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  | Doubao-Seed1.6-Thinking | ✅ | 25.50 | 23.01 | 33.81 | 22.10 | 24.74 | 25.02 | 25.04 |
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  | Qwen3.5-397B-A17B | | 24.25 | 18.96 | 31.94 | 20.75 | 22.91 | 22.37 | 23.29 |
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  | Qwen3.5-112B-A10B | | 18.56 | 15.47 | 18.79 | 13.62 | 19.31 | 23.40 | 18.00 |
 
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  | Doubao-Seed2-Medium | ✅ | 37.06 | 31.96 | 52.46 | 36.10 | 33.63 | 31.28 | 36.13 |
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  | GPT5.2-Medium | ✅ | 35.39 | 36.61 | 50.27 | 37.22 | 32.72 | 30.51 | 35.61 |
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  | Qwen3.5-397B-A17B | ✅ | 34.67 | 30.10 | 48.39 | 34.67 | 31.46 | 26.68 | 33.84 |
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+ | Qwen3.5-122B-A10B | ✅ | 30.37 | 23.94 | 43.91 | 27.23 | 27.84 | 23.92 | 29.20 |
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  | Doubao-Seed1.6-Thinking | ✅ | 25.50 | 23.01 | 33.81 | 22.10 | 24.74 | 25.02 | 25.04 |
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  | Qwen3.5-397B-A17B | | 24.25 | 18.96 | 31.94 | 20.75 | 22.91 | 22.37 | 23.29 |
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  | Qwen3.5-112B-A10B | | 18.56 | 15.47 | 18.79 | 13.62 | 19.31 | 23.40 | 18.00 |