Image created with gemini-3.1-flash-image-preview with claude-opus-4.7. Image prompt: A centered iconic Byzantine mosaic of a golden qilin — a Chinese chimeric beast with hammered-gold scales and a spiraling mane forming a gyre — standing frontal in a gold-ground apse with a circuit-ring halo and Tang cloud-scroll ornament, holding a gilded metal scroll, candlelit tesserae texture in burnished gold, imperial purple and Tyrian crimson, with the bold Trajan-capital title QWEN in ivory across the lower third.
Fast, faster, Qwen. 🚀 Thrilled to see Qwen3.5 reaching a record-breaking 580 tps for agentic workloads on the TokenSpeed engine! This milestone wouldn’t be possible without our incredible partners. Huge thanks to @lightseekorg, @NVIDIAAI, the Mooncake team, and @tri_dao for
https://x.com/Alibaba_Qwen/status/2059674574397313277
Proud to see Qwen3.7‑Max debut at #4 in Code Arena, marking a significant milestone for Qwen in agentic web development. #AlibabaAI #Qwen
https://x.com/AlibabaGroup/status/2059317802935423028
Today’s best coding models from Qwen, DeepSeek, Minimax etc are trained on 1000s of concurrent RL environments to simulate SWE tasks in real git repos. Very excited to open source a tool that unlocks this capability for the whole AI community: point Repo2RLEnv at any GitHub
https://x.com/_lewtun/status/2059995216937886088
Qwen3.7 Max (20250517) debuts at #4 in Code Arena: Frontend – the top-ranked Chinese lab on the board, surpassing GLM-5.1 and is now on par with Claude Opus 4.6 on agentic web development tasks. Huge congrats to @Alibaba_Qwen on this achievement!
https://x.com/arena/status/2059297720079393107
Qwen3.7-Max: How Good Is It? 🚀 🌟Evaluation & insights from Zhihu contributor toyama nao TL;DR: A fresh start — but with real acceleration ⚡ Alibaba’s Tongyi team has been working on trillion-parameter Qwen Max models for over half a year. Earlier Max versions felt oddly
https://x.com/ZhihuFrontier/status/2057772126162354660
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