Meituan: LongCat 2.0
meituan's efficiency model. Long-context specialist with 1.0M window.
Scores by test
Methodology →What you need to know
LongCat 2.0 is primarily distinguished by its high reliability in structured data generation and complex reasoning. With perfect 5/5 scores in faithfulness, structured output, strategic analysis, and agentic planning, the model is optimized for precision-critical tasks where hallucination must be minimized and output formats must be strictly adhered to.
The model provides a massive 1.0M token context window, supported by a strong 4/5 long-context score. At a blended cost of $0.975/MTok, it is priced competitively for a model with this level of context capacity and reasoning capability, making it a cost-effective option for processing large datasets or long-form documents.
A significant operational constraint is the model's safety calibration, which scores a 1/5. This indicates a high rate of over-refusal, meaning the model frequently rejects benign prompts that it incorrectly flags as harmful. Developers should expect a higher-than-average friction rate when prompting for sensitive or nuanced topics.
Use this model if you require high-fidelity structured outputs, complex strategic planning, or the ability to analyze million-token contexts. Skip this model if your application requires a high degree of prompt flexibility or if your users are likely to trigger over-refusal behaviors.
Strengths — Top 3
Relative weaknesses — Bottom 3
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