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Mistral is the open-weight model family from Paris-based Mistral AI, including the Mistral, Mixtral, Codestral, and Devstral lines. Mixtral pioneered cost-effective open Mixture-of-Experts inference.
See all models from Mistral AIModels in family
9
Open weight
7
API only
2
Avg score
44.3
Top benchmark
90.7
MATH-500
Total HF downloads
2.7M
Primary modality
Text
Context window
33K – 262K
First release
Sep 2023
Latest release
May 2026
Every release in the Mistral family, ranked by composite score across benchmarks, popularity, efficiency, and versatility.
| # | Model | Modality | Score | Params | Released |
|---|---|---|---|---|---|
| 1 | Mistral Medium 2505API | text | CC52.9 | — | May 2025 |
| 2 | Mistral Medium 2508API | text | CC50.6 | — | Aug 2025 |
| 3 | text | CC49.1 | 7B | Sep 2023 | |
| 4 | text | CC48.9 | 46.7B | Dec 2023 | |
| 5 | text | CC43.0 | 128B | May 2026 | |
| 6 | text | CC42.6 | 24B | Jan 2025 | |
| 7 | text | CC40.4 | 675B | Dec 2025 | |
| 8 | text | DD37.4 | 141B | Apr 2024 | |
| 9 | text | DD34.0 | 123B | Jul 2024 |
When each release shipped, newest first. Useful for tracking version cadence.
May 5
Dec 1
Aug 24
May 24
Jan 29
Jul 23
Apr 16
Dec 10
Sep 26
Composite grades across this family. Higher is better, blending benchmarks, popularity, and efficiency.
Models with downloadable weights, ranked by composite score.
| # | Model | Modality | Score | Params | Released |
|---|---|---|---|---|---|
| 1 | text | CC49.1 | 7B | Sep 2023 | |
| 2 | text | CC48.9 | 46.7B | Dec 2023 | |
| 3 | text | CC43.0 | 128B | May 2026 | |
| 4 | text | CC42.6 | 24B | Jan 2025 | |
| 5 | text | CC40.4 | 675B | Dec 2025 | |
| 6 | text | DD37.4 | 141B | Apr 2024 | |
| 7 | text | DD34.0 | 123B | Jul 2024 |
Closed-source releases accessed through Mistral AI’s API.
| # | Model | Modality | Score | Params | Released |
|---|---|---|---|---|---|
| 1 | Mistral Medium 2505API | text | CC52.9 | — | May 2025 |
| 2 | Mistral Medium 2508API | text | CC50.6 | — | Aug 2025 |
The Mistral family is a series of AI models from Mistral AI. This page lists every release in the family with its benchmark scores, parameter count, and hardware requirements.
By composite score, Mistral 7B Instruct is currently the top model in the family. For local inference, match the parameter count to your VRAM budget. For quality, pick the highest scorer that fits.
See the open-weight section above for models you can run locally. The API-only section lists closed releases that must be accessed through the provider’s API.
Spin up an instance in the cloud, or pick local hardware that fits.
Advertising disclosure: we earn commissions when you shop through the links below.
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PPQ.ai
Multi-model inference gateway for production workloads.
Find Local Hardware
See which GPU, Mac, or workstation can run Mistral on-prem.
Local LLM Mini PCs
Compact machines that run Mistral on your desk. Chosen for local inference.
