Alibaba's latest AI model ran autonomously for 35 hours to optimize code for its own custom chip
Alibaba's Qwen team releases Qwen3.7-Max, a proprietary model built for long-running autonomous agent tasks. It matches Claude Opus 4.6 on benchmarks and beats Chinese rivals like DeepSeek V4 Pro and Kimi K2.6. The team also demos the model steering a four-legged robot.
Article intelligence
Key points
- Qwen3.7-Max designed for long-running autonomous tasks
- Matches Claude Opus 4.6, beats Chinese rivals
- Model demonstrated controlling a four-legged robot
Why it matters
This matters because qwen3.7-Max designed for long-running autonomous tasks.
Technical impact
May affect model selection, inference cost, product capability, and evaluation benchmarks.
Alibaba's Qwen team releases Qwen3.7-Max, a proprietary model built for long-running autonomous agent tasks. It matches Claude Opus 4.6 on benchmarks and beats Chinese rivals like DeepSeek V4 Pro and Kimi K2.6. The team also demos the model steering a four-legged robot.
The article Alibaba's latest AI model ran autonomously for 35 hours to optimize code for its own custom chip appeared first on The Decoder.