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LongCat 2.0OPEN
LongCat 2.0 is a sparse mixture-of-experts language model from Meituan, with 48B active parameters out of 1.6T total.
Prices update automatically — checked daily against provider list prices.
- $0.52 per 1M tokens, assuming 3 input for 1 output the convention used by Artificial Analysis
- cheaper than 36% of the 191 open-weight models tracked here
Benchmarks & performance
Independent benchmark scores for LongCat 2.0, measured by Artificial Analysis. Higher is better.
For the same budget, LongCat 2.0 delivers 4.2 times more capability. Open weights also mean you can self-host it and pay nothing per token.
Models at this level cost $1.2 per 1M tokens (median of 23) — this one costs $0.52.
Cheaper and better on this index: GLM 5.3 Flash · Gemini 3.7 Flash (batch) · GPT-5.6 Luna and 13 more
About this model
LongCat 2.0 is an open-weight AI model by Meituan. You can download and self-host it for free; the prices below are hosted-API list prices, tracked daily, for when you prefer convenience over self-hosting.
Frequently asked questions
What is LongCat 2.0?
LongCat 2.0 is an AI language model from Meituan. It is open-weight: you can download it and run it on your own hardware, for free. It scores 34 on the Artificial Analysis intelligence index.
Is LongCat 2.0 free?
The weights are free and open — you can self-host LongCat 2.0 and pay nothing per token. If you prefer a hosted API, list prices are $0.3 per million input tokens and $1.2 per million output tokens.
What is LongCat 2.0 good at?
Independent benchmarks from Artificial Analysis give it GPQA 78%, Humanity's Last Exam 33.7%, Long Context Reasoning 62.7%, SciCode 35.4%, τ-Bench Banking 13.2%, Terminal-Bench 50.2%. It is particularly used for code generation.
How fast is LongCat 2.0?
It generates about 41.6 tokens per second, with a median 2.07s delay before the first token. Measured independently by Artificial Analysis.
Can I self-host LongCat 2.0?
Yes. LongCat 2.0 has open weights, so you can download it and run it on your own GPU or server with tools like Ollama, vLLM or llama.cpp — with no per-token cost.