Meituan Releases a 1.6-Trillion-Parameter Agent Model that Never Touched an Nvidia GPU
This story is only covered by news sources that have yet to be evaluated by the independent media monitoring agencies we use to assess the quality and reliability of news outlets on our platform. Learn more here.3 Articles
3 Articles
Meituan has unveiled the details of its LongCat-2.5 spy model. The model has 1.6 trillion parameters and its training was conducted entirely on Chinese hardware. It is approaching its US competitors in coding tests.
Meituan releases a 1.6-trillion-parameter agent model that never touched an Nvidia GPU
Meituan has released the weights for LongCat-2.5, a 1.6-trillion-parameter model built for AI agents and trained entirely on Chinese hardware. On Terminal Bench, it scores 88.4 points, landing just behind Claude Opus 5. The sample deployment runs on 194 Huawei Ascend chips, and Meituan makes no mention of Nvidia GPUs. The article Meituan releases a 1.6-trillion-parameter agent model that never touched an Nvidia GPU appeared first on The Decoder.
Meituan releases the weights of LongCat-2.5 – a 1.6-billion parameter model for AI agents that has been fully trained on Chinese hardware. Coding benchmarks like Terminal Bench reach 88.4 points, just behind Claude Opus 5. The sample configuration runs on 194 Huawei Ascend chips, missing hints for Nvidia GPUs. The article LongCat-2.5: Meituan gives weights of its 1.6-billion parameter model for AI agents free appeared first on The decoder.
Coverage Details
Bias Distribution
- There is no tracked Bias information for the sources covering this story.
Factuality
To view factuality data please Upgrade to Premium
