Mistral Large 4 (ML4) - Mistral's 1T-Parameter Native Multimodal Frontier Model

Mistral Large 4 (ML4, codename leChonk) is Mistral AI's native multimodal frontier model for enterprises that need a Europe-hosted, high-capability model for reasoning, coding, and document-heavy knowledge work. It entered public preview on Mistral Studio on October 6, 2026.

Core Features

  • 1 trillion total parameters with 49 billion active per token, trained from scratch on 3,800 Nvidia Grace Blackwell GPUs inside Mistral's own European data centers.
  • Native multimodal: handles text and images in one model, with visual-grounding performance Mistral says beats some closed frontier models.
  • Multilingual coverage spanning 160-plus languages, including every official EU language.
  • Public preview API on Mistral Studio now, with open weights promised by the end of October 2026 under a permissive license.
  • Priced at $1.36 per million input tokens and $4.18 per million output tokens.

Use Cases

  • Regulated European enterprises that must keep data and inference inside EU jurisdiction.
  • Cybersecurity, finance, and legal workflows where Mistral reports SOTA results among open-weight models.
  • Long-horizon coding and enterprise knowledge tasks that need strong reasoning.

Pricing

Mistral Large 4 is in public preview on Mistral Studio as of October 6, 2026. API pricing is $1.36 per million input tokens and $4.18 per million output tokens. Open weights are scheduled to release by the end of October 2026, after red-team testing with cybersecurity partners and government regulators.

Pros & Cons

Pros: Europe-hosted and EU-compliant; broad multilingual and visual-grounding strength; open weights planned. Cons: not yet broadly available; output pricing sits above many open-weight rivals.

Our Take

Best for European and regulated enterprises that want frontier capability without leaving the EU. The trade-off is availability — broad public access trails the preview period.

See more AI models on aifreetool.site.

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