China’s NEW Meituan LongCat 2.0 Tested!

Author: Julian Goldie SEO - Bewertung: 5x - Views:32

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LongCat 2.0 (Open Source) Tested: Benchmarks, Games, and GLM 5.2 Comparison



The episode covers the official release of LongCat 2.0, an open-source Chinese agentic model revealed as the model behind the AoAlpha free API, with features like Sparse Attention, Zero Compute Experts, and MIPD. The host reviews benchmark claims (including Terminal Bench 2.1 and SWE-Bench Pro comparisons versus GPT-5.5 and Opus 4.8) and shares hands-on tests building game demos such as Dragon Realm, a Skyrim-style open world, and VoxelCraft, noting mixed results and frequent bugs. Access issues are mentioned, including difficulty using the API without a Chinese setup, so the model is tested via the website chat. A key point is that LongCat was trained on China’s Meituan chips without NVIDIA. Overall, GLM 5.2 is judged stronger in side-by-side game benchmarks, and the host promotes the AI Profit Boardroom and Agent OS setup.



00:00 LongCat 2.0 Launch

00:36 Benchmarks and API Hurdles

01:38 Game Demos Dragon Realm

02:23 Goldy Bench Verdict

02:43 Trained Without NVIDIA

03:32 How to Use It

03:51 Eval Results vs GPT

04:17 GLM 5.2 Showdown

06:13 Final Take and Recommendation

06:35 Agent OS and Boardroom Plug

07:37 Wrap Up