Mistral: Codestral 2508 Rank
Codestral 2508 has an overall score of 66 out of 100, tied for rank 140 of 291. The published scores are price 71, context 53, and freshness 73. 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 140 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | 73 | AI Knowledge Cutoff | |
| Recency | — | — | AI Release Date |
| Context | 53 | 256K tokens, output 205K | AI Context Window |
| Parameters | — | — | AI Parameter Count |
| Price | 71 | $0.45 / 1M blended, $0.3 / 1M input, $0.9 / 1M output | AI Token Price |
139 listed models have a higher overall score. Among Mistral models, it ranks 2 of 20.
Mistral's cutting-edge language model for coding released end of July 2025. Codestral specializes in low-latency, high-frequency tasks such as fill-in-the-middle (FIM), code correction and test generation. [Blog Post](https://mistral.ai/news/codestral-25-08)
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Frequently asked questions
What is the Codestral 2508 rank?
Codestral 2508 has an overall score of 66 out of 100, tied for rank 140 of 291. The published scores are price 71, context 53, and freshness 73. The overall score is their average. parameters and recency are not published and are left out of the average.
Where does Codestral 2508 rank?
Codestral 2508 is tied for rank 140 of 291. 139 listed models have a higher overall score. Among Mistral models, it ranks 2 of 20.
What scores make up Codestral 2508?
Codestral 2508 scores price 71 (AI Token Price), context 53 (AI Context Window), and freshness 73 (AI Knowledge Cutoff). The overall score of 66 is the average of those 3.