When was LongCat-2.0 trained and released?

The LongCat team has existed since 2023, and its first model shipped late last year. The body does not specify the exact release date of LongCat-2.0.

What hardware did Meituan use to train the model?

Meituan trained LongCat-2.0 on a cluster of more than 50,000 domestically made AI ASICs (application-specific integrated circuits). Meituan did not name the specific chip maker.

How does LongCat-2.0 compare to other AI models?

On SWE-bench Pro (59.5) and SWE-bench Multilingual (77.3), LongCat-2.0 tops Gemini 3.1 Pro and GPT-5.5 but falls short of Claude Opus 4.7 and 4.8. On IFEval (90.0), IMO-AnswerBench (81.8), and GPQA-diamond (88.9), it trails Gemini and GPT-5.5 by a wide margin in some cases.

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Meituan trains 1.6T-parameter AI model on Chinese chips, no Nvidia

THE DECODER17h ago4 min read

Key takeaway

Meituan has trained LongCat-2.0, a 1.6 trillion parameter AI model using only Chinese semiconductor hardware, without reliance on Nvidia chips. The model was trained on a cluster exceeding 50,000 domestic AI chips and processed over 35 trillion tokens. On some benchmarks it surpasses Western models like Gemini 3.1 Pro, though it underperforms on others, suggesting China is developing homegrown AI capabilities despite US export controls.

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3 Key Points

What happened
Meituan trained LongCat-2.0, a 1.6 trillion parameter AI model entirely on a cluster of more than 50,000 domestically made AI ASICs, processing over 35 trillion tokens. The company stated it has demonstrated the capability to train large-scale models on domestic computing clusters.
Why it matters
This marks what appears to be China's first competitive trillion-parameter model trained entirely on domestic hardware, despite US export controls in place since 2022. The development signals that China may be reducing its dependence on Western chip suppliers for advanced AI training.
What to watch
LongCat-2.0 shows mixed benchmark results—it beats Gemini 3.1 Pro and GPT-5.5 on SWE-bench Pro (59.5) and SWE-bench Multilingual (77.3), but trails them significantly on IFEval (90.0), IMO-AnswerBench (81.8), and GPQA-diamond (88.9). The model is not yet available on HuggingFace, making independent verification difficult.

FAQ

When was LongCat-2.0 trained and released?: The LongCat team has existed since 2023, and its first model shipped late last year. The body does not specify the exact release date of LongCat-2.0.
What hardware did Meituan use to train the model?: Meituan trained LongCat-2.0 on a cluster of more than 50,000 domestically made AI ASICs (application-specific integrated circuits). Meituan did not name the specific chip maker.
How does LongCat-2.0 compare to other AI models?: On SWE-bench Pro (59.5) and SWE-bench Multilingual (77.3), LongCat-2.0 tops Gemini 3.1 Pro and GPT-5.5 but falls short of Claude Opus 4.7 and 4.8. On IFEval (90.0), IMO-AnswerBench (81.8), and GPQA-diamond (88.9), it trails Gemini and GPT-5.5 by a wide margin in some cases.

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