Mistral Large 4 Preview
Mistral Large 4 Preview is an open-weights language model from Mistral, released October 6, 2026. On the Epoch Capabilities Index it scores 152.7, rank 57 of 256 rated models.
Check it against your own PC →
Can you run Mistral Large 4 Preview locally?
Even with 32 GB of VRAM and 32 GB of RAM it is too large to run at a usable speed on a single consumer GPU. Estimates assume 32 GB of DDR5 RAM, a 16K context and llama.cpp-style GGUF quantization. Enter your exact hardware in the live app.
| GPU memory | Verdict | Best quant | VRAM | RAM | tok/s |
|---|---|---|---|---|---|
| 6 GB VRAM | Size unknown | – | – | – | – |
| 8 GB VRAM | Size unknown | – | – | – | – |
| 12 GB VRAM | Size unknown | – | – | – | – |
| 16 GB VRAM | Size unknown | – | – | – | – |
| 24 GB VRAM | Size unknown | – | – | – | – |
| 32 GB VRAM | Size unknown | – | – | – | – |
Parameter count unknown. The weights may not be on Hugging Face yet.
Strengths by category
ModelTape's 0–100 fit on Epoch AI benchmark results.
| Category | Score | Based on |
|---|---|---|
| Reasoning | 15.6 | Chess Puzzles, Mystery Game Puzzles |
| Math | 42.7 | ProofBench, OTIS Mock AIME 2024-2025, FrontierMath-Tiers-1-3-v2-Private, FrontierMath-Tier-4-v2-Private |
| Knowledge | 65.9 | GPQA diamond, SimpleQA Verified |
Benchmark results
| Benchmark (Epoch AI) | Score |
|---|---|
| OTIS Mock AIME | 98.3% |
| GPQA Diamond | 87.6% |
| FrontierMath (Tiers 1–3) | 61.7% |
| Chess Puzzles | 29.5% |
| MirrorCode | 27.8% |
| FrontierMath-Tier-4-v2-Private | 26.8% |
| SimpleQA Verified | 20.0% |
| ProofBench | 10.0% |
| Mystery Game Puzzles | 8.6% |
| Furniture Assembly | 0.0% |
Links
Models with a similar score
GPT-5.6 Luna · GPT-6 Luna · Claude Opus 4.6 · Grok 4.7 · Gemini 3.1 Pro · Qwen3.8 Max (0902) · DeepSeek V4 Pro 0813 · Muse Spark Open
More from Mistral
Mistral Large 4 · Mistral Large 4 1T A52B · Leanstral 1.5 · Mistral Medium 3.5 · Mistral Small 4 · Devstral Small 2 · Devstral 2 · Ministral 3 3B