Mistral AI

Mistral Large

Benchmarks, price, context and versions

Also searched as

Mistral-Large

Direct answer: Mistral Large is a model from Mistral AI. 38.8% on GPQA Diamond, per Epoch AI. On OpenRouter, US$ 2.00 per 1 million input tokens and US$ 6.00 per 1 million output tokens.

✓ Good for

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

✕ Not the best for

  • technical reasoning on science topics (#166 of 198 on GPQA Diamond)
  • calculation and problems with an exact answer (#173 of 186 on OTIS Mock AIME)
  • when the input budget sits at the top of the table (input price in the highest 25% on OpenRouter)

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

GPQA Diamond

?what it is
38.8%

highest score on this metric 96.4%

166º / 198 · Epoch AI, latest version we checked

OTIS Mock AIME

?
1.9%

highest score on this metric 100%

173º / 186 · Epoch AI, latest version we checked

Key specs

Origin
France
Family
Mistral Large provisional data
Weights?
closed
License
no data
Input US$/1M?
US$ 2.00
Output US$/1M
US$ 6.00
Context?
128,000 tokens
Parameters
no data
Input
file, text
OpenRouter usage?
no data
Downloads (30 days)?
no data
Use cases provisional data
Text Agents
Dates in sources
  • 2024, published, per Epoch AI
  • 2024, listed on OpenRouter

Version history

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

FAQ

What is Mistral Large?

Mistral Large is a model from Mistral AI, with closed weights, used for text, agents.

How much does Mistral Large cost?

On OpenRouter, US$ 2.00 per 1 million input tokens and US$ 6.00 per 1 million output tokens.

What is the context window of Mistral Large?

128,000 tokens, per OpenRouter.

Is Mistral Large open source?

No. It is available through API only.

What is Mistral Large's GPQA Diamond score?

38.8% on GPQA Diamond, per Epoch AI.

Is Mistral Large good for coding?

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

Who made Mistral Large?

It was made by Mistral AI, a lab from France.

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

Models from Mistral AI

See lab

Sources

  • Epoch AI, CC BY 4.0, 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.