Mistral Large 4

Hacker News Top Models
mistral open-weights mixture-of-experts multimodal vision large-language-model reasoning

Summary

Mistral AI announced Mistral Large 4, a state-of-the-art open-weight, general-purpose multimodal model with a granular MoE architecture featuring 49B active parameters, 1.05T total parameters, a 1.6B vision encoder, and a 1M token context window.

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# Mistral Large 4 - Mistral AI Source: [https://docs.mistral.ai/models/mistral-large-4-0](https://docs.mistral.ai/models/mistral-large-4-0) ![Cat](https://docs.mistral.ai/_next/image?url=%2Fassets%2Fsprites%2Fcat_idle.gif&w=640&q=75) October 6, 2026 Public Previewv26\.10 Mistral Large 4 is a state\-of\-the\-art, open\-weight, general\-purpose multimodal model with a granular Mixture\-of\-Experts architecture\. It features 49B active parameters and 1\.05T total parameters, and a 1\.6B vision encoder\. Speed Performance Modalities Context 1M Price $1\.36$0\.68 Input/M Tokens $0\.14$0\.07 Cached input/M Tokens $4\.18$2\.09 Output/M Tokens Speed Performance Modalities Context 1M Price $0\.68 /M Tokens $0\.07 /M Tokens $2\.09 /M Tokens ### Features [Structured Outputs](https://docs.mistral.ai/studio/conversations/structured-output) [Function Calling](https://docs.mistral.ai/studio/conversations/function-calling) [Document QnA](https://docs.mistral.ai/studio/document-processing/document_qna) [Prefix](https://docs.mistral.ai/studio/conversations/chat-completion#other-useful-features) [Chat Completions](https://docs.mistral.ai/studio/conversations/chat-completion) [Batching](https://docs.mistral.ai/studio/batch-processing) [Agents & Conversations](https://docs.mistral.ai/studio/agents/agents-api) [Built\-In Tools](https://docs.mistral.ai/studio/agents/agent-tools)

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