Mistral Large Rank
Mistral Large has an overall score of 52 out of 100, tied for rank 260 of 291. The published scores are price 46, context 44, and freshness 67. The overall score is their average. parameters and recency are not published and are left out of the average.
Data sourced from OpenRouter API and manual data collection | Last updated: Nov 3, 2026, 8:01 AM UTC
Component scores are ranked in
tied for rank 260 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | 67 | AI Knowledge Cutoff | |
| Recency | — | — | AI Release Date |
| Context | 44 | 128K tokens, output 102K | AI Context Window |
| Parameters | — | — | AI Parameter Count |
| Price | 46 | $3 / 1M blended, $2 / 1M input, $6 / 1M output | AI Token Price |
259 listed models have a higher overall score. Among Mistral Large models, it ranks 13 of 20.
This is Mistral AI's flagship model, Mistral Large 2 (version `mistral-large-2407`). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. Read the launch announcement [here](https://mistral.ai/news/mistral-large-2407/)....
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Frequently asked questions
What is the Mistral Large rank?
Mistral Large has an overall score of 52 out of 100, tied for rank 260 of 291. The published scores are price 46, context 44, and freshness 67. The overall score is their average. parameters and recency are not published and are left out of the average.
Where does Mistral Large rank?
Mistral Large is tied for rank 260 of 291. 259 listed models have a higher overall score. Among Mistral Large models, it ranks 13 of 20.
What scores make up Mistral Large?
Mistral Large scores price 46 (AI Token Price), context 44 (AI Context Window), and freshness 67 (AI Knowledge Cutoff). The overall score of 52 is the average of those 3.