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Meituan

LongCat 2.0

Benchmarks, price, context and versions

Also searched as

LongCat-2.0

Direct answer: LongCat 2.0 is a model from Meituan. On OpenRouter, US$ 0.30 per 1 million input tokens and US$ 1.20 per 1 million output tokens.

✓ Good for

  • very long documents or code (a window of 1 million tokens or more, according to OpenRouter)
  • running on your own infrastructure (open weights)

✕ Not the best for

  • Not enough data in the open sources this section uses to build this block.

This block follows a rule of this section, using source data: if the model is in the top 25% of the metric, the item goes under "Good for"; if it is in the bottom half, it goes under "Not the best for". The middle band appears in neither. Price and context use OpenRouter; scores use Epoch AI or OpenRouter Benchmarks, in the latest version we checked.

Benchmarks

no data

Key specs

Origin
China
Family
LongCat provisional data
Weights?what it is
open
License
mit
Input US$/1M?
US$ 0.30
Output US$/1M
US$ 1.20
Context?
1,048,756 tokens
Parameters
1,775,560,491,136
Input
text
OpenRouter usage?
no data
Downloads (30 days)?
3,024
Use cases provisional data
Text Agents
Dates in sources
  • 2026, listed on OpenRouter
  • 2026, Hugging Face repo created

Version history

Dates come from the sources: OpenRouter listing or Hugging Face repo creation, which may differ from the official launch.

FAQ

What is LongCat 2.0?

LongCat 2.0 is a model from Meituan, with open weights, used for text, agents.

How much does LongCat 2.0 cost?

On OpenRouter, US$ 0.30 per 1 million input tokens and US$ 1.20 per 1 million output tokens.

What is the context window of LongCat 2.0?

1,048,756 tokens, per OpenRouter.

Is LongCat 2.0 open source?

Yes, it has open weights. License: mit.

Is LongCat 2.0 good for coding?

No data: there is no SWE-bench Verified measurement for it in open sources.

Who made LongCat 2.0?

It was made by Meituan, a lab from China.

provisional data Questions under review: Semrush had no API balance during collection. Answers use source data only.

Sources

  • Hugging Face Hub, metadados públicos do Hub; licença de cada modelo no repositório, latest version we checked.
  • OpenRouter, dados públicos da API; exports de benchmarks e rankings em CC BY 4.0, latest version we checked.

Dates come from the sources: OpenRouter listing or Hugging Face repo creation, which may differ from the official launch. Family and version were grouped by rule from the name.