Mistral: Mistral Large 3 2512 Rank
Mistral Large 3 2512 has an overall score of 63 out of 100, tied for rank 176 of 291. The published scores are price 64, context 53, and parameters 71. The overall score is their average. recency 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 | — | — | AI Release Date |
| Context | 53 | 262K tokens, output 210K | AI Context Window |
| Parameters | 71 | 675B total, 41B active | AI Parameter Count |
| Price | 64 | $0.75 / 1M blended, $0.5 / 1M input, $1.5 / 1M output | AI Token Price |
175 listed models have a higher overall score. Among Mistral models, it ranks 3 of 20.
Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license.
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Frequently asked questions
What is the Mistral Large 3 2512 rank?
Mistral Large 3 2512 has an overall score of 63 out of 100, tied for rank 176 of 291. The published scores are price 64, context 53, and parameters 71. The overall score is their average. recency and freshness are not published and are left out of the average.
Where does Mistral Large 3 2512 rank?
Mistral Large 3 2512 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 Large 3 2512?
Mistral Large 3 2512 scores price 64 (AI Token Price), context 53 (AI Context Window), and parameters 71 (AI Parameter Count). The overall score of 63 is the average of those 3.