Mistral Large 4
PreviewMistral Large 4 ("Le Chonk") is Mistral AI's flagship frontier model, launched in public preview on 2026-10-06 (realizing the "fat but sparse" open-weight MoE CEO Arthur Mensch teased for July 2026 early access). A granular Mixture-of-Experts model trained from scratch on 3,800 NVIDIA Grace Blackwell (GB200) GPUs in Mistral's European datacenters. Mistral's first-party docs list 1.05T total / 52B active parameters; some press reports 49B active, and at least one analysis (shattered.io) cites an "official" 675B/41B figure — the exact count is disputed and vendor-reported. Natively multimodal (text + image understanding via a ~1.6B vision encoder), text out, spanning 160+ languages including every official EU language, with a 1M-token context. Available now via the Mistral Studio preview API (function calling, structured outputs, document QnA, batching, Agents/Conversations endpoints) at $1.36 / $4.18 per 1M input/output tokens ($0.14 cached input); open weights are promised by the end of October 2026 (license not yet announced), so self-hosting is not yet possible. Vendor-reported benchmarks: Cybench 93%, CyberGym-E2E 82%, DeepSWE v1.1 61.7%, Artificial Analysis coding-agents index 49.8%, Lakera B3 safety 93.3%. Figures vendor-reported and unverified at launch.
Specifications
- License
- Open weights
- Weights
- Not released
- Architecture
- Mixture-of-Experts
- Parameters
- 1.1T · 52B active
- Context window
- 1.0M tokens
- Max output
- —
- Knowledge cutoff
- —
- Price (in / out, $/M)
- $1.36 / $4.18
- Modalities
- TextVisionCode
Benchmarks
No benchmark scores recorded yet. Spotted some? Submit a correction.
Vendor-reported figures are claims until independently verified. See methodology.