Directory / LLM API / Mistral Large 4
Mistral Large 4
Mistral's flagship open-weight model ('Le Chonk'): a 1-trillion-parameter natively multimodal Mixture-of-Experts model (about 52B active) with a 1M-token context, built for agentic coding and defensive cybersecurity, with low/medium/high reasoning modes. Weights on Hugging Face; also served on the Mistral API as mistral-large-4.
💲 Mistral API: $0.70/M input, $0.07/M cached input, $2.10/M output. Weights downloadable under Mistral's open-weight license (license: other on Hugging Face; check terms for commercial use). Source: docs.mistral.ai (checked Oct 30, 2026).
Pros & cons
👍 Pros
- Leads open-weight models on FrontierCode and Terminal-Bench (per Mistral)
- Uses far fewer tokens per task than similar open models
- Self-hostable (vLLM, SGLang, llama.cpp) with 1M context
👎 Cons
- 1T parameters: needs serious hardware to self-host
- Custom license rather than Apache/MIT
- Benchmarks are vendor-reported
Latest release
Open weights released
Mistral released the weights of an improved Mistral Large 4 after its public preview: +13 points on Terminal-Bench 4.0 (41%), 30% fewer output tokens, and three reasoning modes (low, medium, high). Source ↗
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