GPQA Diamond
?what it ishighest score on this metric 96.4%
166º / 198 · Epoch AI, latest version we checked
Benchmarks, price, context and versions
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.
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.
highest score on this metric 96.4%
166º / 198 · Epoch AI, latest version we checked
highest score on this metric 100%
173º / 186 · Epoch AI, latest version we checked
Dates come from the sources: OpenRouter listing or Hugging Face repo creation, which may differ from the official launch.
Mistral Large is a model from Mistral AI, with closed weights, used for text, agents.
On OpenRouter, US$ 2.00 per 1 million input tokens and US$ 6.00 per 1 million output tokens.
128,000 tokens, per OpenRouter.
No. It is available through API only.
38.8% on GPQA Diamond, per Epoch AI.
No data: there is no SWE-bench Verified measurement for it in open sources.
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.
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.