Mistral: Mistral Small 3.1 24B Rank
Mistral Small 3.1 24B has an overall score of 50 out of 100, tied for rank 267 of 291. The published scores are price 73, context 44, parameters 35, and freshness 48. The overall score is their average. recency is not published and is 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 267 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | 48 | AI Knowledge Cutoff | |
| Recency | — | — | AI Release Date |
| Context | 44 | 128K tokens, output 102K | AI Context Window |
| Parameters | 35 | 24B total | AI Parameter Count |
| Price | 73 | $0.402 / 1M blended, $0.351 / 1M input, $0.555 / 1M output | AI Token Price |
266 listed models have a higher overall score. Among Mistral models, it ranks 16 of 20.
Mistral Small 3.1 24B Instruct is an upgraded variant of Mistral Small 3 (2501), featuring 24 billion parameters with advanced multimodal capabilities. It provides state-of-the-art performance in text-based reasoning and...
Higher overall scores
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Frequently asked questions
What is the Mistral Small 3.1 24B rank?
Mistral Small 3.1 24B has an overall score of 50 out of 100, tied for rank 267 of 291. The published scores are price 73, context 44, parameters 35, and freshness 48. The overall score is their average. recency is not published and is left out of the average.
Where does Mistral Small 3.1 24B rank?
Mistral Small 3.1 24B is tied for rank 267 of 291. 266 listed models have a higher overall score. Among Mistral models, it ranks 16 of 20.
What scores make up Mistral Small 3.1 24B?
Mistral Small 3.1 24B scores price 73 (AI Token Price), context 44 (AI Context Window), parameters 35 (AI Parameter Count), and freshness 48 (AI Knowledge Cutoff). The overall score of 50 is the average of those 4.