Mistral: Mistral Medium 3.5 Rank
Mistral Medium 3.5 has an overall score of 63 out of 100, tied for rank 176 of 291. The published scores are price 46, context 53, and recency 91. The overall score is their average. parameters and freshness 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 176 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | — | — | AI Knowledge Cutoff |
| Recency | 91 | AI Release Date | |
| Context | 53 | 262K tokens, output 210K | AI Context Window |
| Parameters | — | — | AI Parameter Count |
| Price | 46 | $3 / 1M blended, $1.5 / 1M input, $7.5 / 1M output | AI Token Price |
175 listed models have a higher overall score. Among Mistral models, it ranks 3 of 20.
Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex...
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Frequently asked questions
What is the Mistral Medium 3.5 rank?
Mistral Medium 3.5 has an overall score of 63 out of 100, tied for rank 176 of 291. The published scores are price 46, context 53, and recency 91. The overall score is their average. parameters and freshness are not published and are left out of the average.
Where does Mistral Medium 3.5 rank?
Mistral Medium 3.5 is tied for rank 176 of 291. 175 listed models have a higher overall score. Among Mistral models, it ranks 3 of 20.
What scores make up Mistral Medium 3.5?
Mistral Medium 3.5 scores price 46 (AI Token Price), context 53 (AI Context Window), and recency 91 (AI Release Date). The overall score of 63 is the average of those 3.