Mistral Models — Hardware Requirements
33 Mistral models from Mistral AI and the community, from the smallest that runs in 0.3 GB of VRAM up to 675B parameters. Every row links to full quantization tables and GPU compatibility.
All Mistral Models by Size
How Mistral Compares — Benchmark Rating
Mistral Large Instruct 2411 is the highest-rated Mistral model with an overall benchmark rating of 42.8/100 — #43 among 78 open models. The top proprietary model, Claude Fable 5 (high), scores 87.8. Click a model to see its full benchmark breakdown.
Claude Fable 5 (high) · proprietary87.8
Claude Opus 4.7 · proprietary86.4
Claude Fable 5 Max · proprietary82.4
GPT 6 Astra (high) · proprietary82.4
GPT 6 Astra Max · proprietary82.4
Kimi K366.8
GLM 565.9
DeepSeek R1 052863.1
Frequently Asked Questions
- How much VRAM do I need to run a Mistral model?
- The smallest Mistral model, PicoMistral 23M, runs from 0.3 GB of VRAM at an aggressive quantization. Larger family members need proportionally more — see the table above for every model.
- Which Mistral models can I run on a 16 GB GPU?
- 28 of 34 Mistral models fit in 16 GB of VRAM at some quantization, including Mistral Small 24B Instruct 2501, Mistral 7B v0.3, Mistral 7B Instruct v0.3.
- What is the most popular Mistral model to run locally?
- Mistral Small 24B Instruct 2501 is the most downloaded Mistral model in local-friendly quantized formats. It runs from 10.7 GB of VRAM.
- How do Mistral models score on benchmarks?
- Mistral Large Instruct 2411 leads the family with an overall benchmark rating of 42.8/100, ranking #43 among 78 open models, while the top proprietary model, Claude Fable 5 (high), scores 87.8. See the comparison chart above for the full standings.