Update README.md

README.md

@@ -22,7 +22,7 @@ We present GoLongRL, a fully open-source, capability-oriented post-training reci
 <sub>Overall performance comparison on long-context benchmarks (DocMath, LongBench-V2, Frames, MRCR, CorpusQA, LBV1-QA).</sub>
 </div>
 
-**GoLongRL-30B-A3B** achieves long-context performance comparable to DeepSeek-R1-0528 and Qwen3-235B-A22B-Thinking-2507, while using a significantly smaller activated parameter budget.
+**GoLongRL-30B-A3B** achieves strong long-context performance at the 30B scale.
 
 | Model | Avg. | DocMath | LBV2 | Frames | MRCR | CorpusQA | LBV1-QA |
 |---|---|---|---|---|---|---|---|