Who ranks #1 on the Mmlu French leaderboard?
As of August 20, 2026, Mistral Large 2 by Mistral ranks #1 on Mmlu French at 82.8%. API pricing is $2.00/M input and $6.00/M output.
As of August 20, 2026, Mistral Large 2 is #1 for Mmlu French at 82.8%. Ranked by the Mmlu French score 1 models in this index have a published Mmlu French score. Mmlu French leaderboard: rank models by Mmlu French next to live API token prices.
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As of August 20, 2026, Mistral Large 2 by Mistral is #1 for Mmlu French at 82.8%. Ranked by the Mmlu French score This board also tracks Mmlu French. This mmlu french leaderboard ranks models by Mmlu French. Scores come from public evals. Prices are the live API rates in the table above.
Sources: OpenAI API pricing (https://developers.openai.com/api/docs/pricing); Anthropic Claude API pricing (https://platform.claude.com/docs/en/about-claude/pricing); Gemini API pricing (https://ai.google.dev/gemini-api/docs/pricing)
| Rank | Model | Mmlu French | Input /M | Output /M |
|---|---|---|---|---|
| 1 | Mistral Large 2 | 82.8% | $2.00 | $6.00 |
Rank one eval at a time. All LLM benchmarks.
As of August 20, 2026, Mistral Large 2 by Mistral ranks #1 on Mmlu French at 82.8%. API pricing is $2.00/M input and $6.00/M output.
Mistral Large 2 currently leads Mmlu French and is also the cheapest scored model on this page, at $2.00/M input and $6.00/M output ($8.00 blended).
Not automatically. Mistral Large 2 leads Mmlu French, but a cheaper scored model can be the better production choice if the quality gap is small. Use the table to weigh Mmlu French against input/output price, context window, and related evals.
Scores and API prices on this page are refreshed from published evals and provider rates. The snapshot is labeled August 20, 2026. Treat it as a current index, not a one-off blog post.
Mmlu French is a public LLM eval (the Mmlu French score). This page ranks models that have published a score, next to live API prices.
This page is the Mmlu French leaderboard. Models are sorted by Mmlu French, with input and output token prices on the same row so you can weigh score against cost. Official boards often omit price; that comparison is the point of this index.
Official eval pages own the methodology. This page keeps the published Mmlu French score next to live API $/M so you can pick a production SKU, not only a trophy number.