Mistral Large 2407
Neural Network
Mistral Large 2407 is Mistral AI's flagship model for reasoning, code, and JSON output, available via Mistral Large API in BotHub.
Max answer length
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Prompt cost
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How it works Mistral Large 2407?
Mistral Large 2407 is Mistral AI's flagship model: weights are available, but the license remains proprietary. It excels at reasoning, coding, and structured JSON output, and handles dialogue confidently, making it suitable for both analytical tasks and product integration. In BotHub, Mistral Large works without a VPN or foreign card: you pay with a Russian card in rubles for tokens used, not a subscription, and unused tokens do not expire. Over 250 models are available in the same window, making it easy to switch and compare answers, while a unified OpenAI-compatible API allows you to change models without rewriting integrations; chats are protected by AES-GCM encryption. For developers, the model helps write and refactor code, debug errors, and return results strictly in JSON for further processing. For analysts, it helps break down long documents into key points and verify calculation logic. For product teams, it helps build assistants and chat scenarios via API. For writers, it helps prepare drafts, emails, and descriptions, which can then be refined in dialogue.Frequently asked questions about Mistral Large 2407
You can use generated results for commercial purposes. You own all rights to the content you create. The only restriction: make sure your prompt does not include copyrighted third-party material. You are responsible for respecting the rights to any input data.
This is a Mistral text model with a 128,000 token context. It is suitable for working with long documents: analysis, summaries, and finding specific fragments. It handles code well—writing, refactoring, debugging—as well as analytics, STEM tasks, and scenarios requiring external tool calls.
The output limit is 104,857 tokens per response, which is enough for a large technical document or a detailed analysis of a large code file. Keep in mind the total context of 128,000 tokens: this includes your request with attachments and the response itself.
A separate reasoning mode is not noted for this model in our data—it generates the response immediately. However, a step-by-step breakdown is easily obtained via prompt: ask it to write out the logic step-by-step or to create a plan first, then provide the result. This helps significantly with complex tasks.
Yes, function calling and structured JSON output are supported. This is convenient for agents, bots with access to external services, and pipelines where the response is parsed by code. In BotHub, the model is available via a unified OpenAI-compatible API, so tool schemas are described in the usual way.
In addition to text, the model accepts documents natively: you attach a file and ask questions about its content. Images, audio, and video cannot be uploaded here. For such tasks, switch to a multimodal model in the same BotHub window—you won't need to rewrite the integration.
The Mistral Large line is stated to be multilingual, and the model works confidently with Russian: it maintains terminology, edits, translates, and answers based on the meaning of long documents. For niche domains, it is worth checking the quality on your own tasks—other models are available nearby in the same window for comparison.