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@rasbt

The new Qwen3 update takes back the benchmark crown from Kimi 2. Some highlights of how Qwen3 235B-A22B differs from Kimi 2: - 4.25x smaller overall but has more layers (transformer blocks); 235B vs 1 trillion - 1.5x fewer active parameters (22B vs. 32B) - much fewer experts in… https://t.co/Ld5chRkXpZ

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                                  "full_text": "Kimi K2 🆚 Qwen-3-235B-A22B-2507\n\nThe new updated Qwen 3 model beats Kimi K2 on most benchmarks. The jump on the ARC-AGI score is especially impressive\n\nAn updated reasoning model is also on the way according to Qwen researchers https://t.co/05jZ5Yejiz",
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                              "full_text": "@rasbt At this point we can Safely conclude that \"global Open Weights LLM Torch bearers are:\n\nAlibaba QWen models\nMoonShot Kimi\nDeesk R1/R2\n\nall 3 from China,as US AI labs gave up on OSS LLMs\n\n&gt;quite a jump in performance of QWen-3-2025-JULY from previous version\nhttps://t.co/ZJzo8uMJAR",
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                              "full_text": "@rasbt Great chart! I disagree about Kimi being a base model though, they performed plenty of SFT and RL, see pages 9-14 of the technical report here. https://t.co/Rhm9ehJumN",
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