Analysis Summary
Mistral Large 2407 is a text and file input model with a 128K context window, tool use, and function calling. The supplied intelligence index is low, and no coding, agentic, or content benchmark results are included here to establish stronger performance in those areas. Its listed price is moderate compared with the most expensive models in this batch.
File support and function calling provide useful building blocks for document workflows and API-driven automation. However, the available data does not show that it can reliably handle complex reasoning, code changes, or unattended multi-step tasks. Its 2024 release date also makes it important to compare against newer models for workflows where capability and reliability are central.
It may be suitable for bounded document and tool-use tasks after internal testing. For demanding client work, validate it against a newer candidate and measure accuracy, instruction adherence, and total cost on representative prompts.
Assessed September 23, 2026
Editorial notes
Mistral Large 2407 supports file input, tool use, and function calling with a 128K context window; the supplied intelligence result is low and the model is an older release.
The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?
DFO Verdict
Mistral Large 2407 supports file input, tool use, and function calling with a 128K context window; the supplied intelligence result is low and the model is an older release.
Benchmarks
Artificial Analysis data refreshed Oct 8, 2026. Arena ratings from the Oct 2, 2026 text leaderboard, with style control.
Artificial Analysis has not published coding or agentic results for Mistral Large 2407 yet. Until it does, the model sits below tested models on the Coding and AI Agents lists.
How Mistral Large 2407 compares
Mistral Large 2407 ranks #319 of 435 AI models we track for overall intelligence. Its 131K-token context window is larger than 51% of the models we list. At $2.00 per million input tokens it is cheaper than 16% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $2.00 | $0.002000 |
| Output | $6.00 | $0.006000 |
What would Mistral Large 2407 cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 697 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Mistral Large 2407 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Mistral Large 2407
This is Mistral AI's flagship model, Mistral Large 2 (version mistral-large-2407). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more...
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Frequently asked questions about Mistral Large 2407
How much does Mistral Large 2407 cost?
Mistral Large 2407 costs $2.00 per million input tokens and $6.00 per million output tokens.
What is the context window of Mistral Large 2407?
Mistral Large 2407 has a context window of 131,072 tokens (131K).
What can Mistral Large 2407 do?
Mistral Large 2407 supports tool use and function calling.
Who created Mistral Large 2407?
Mistral Large 2407 is developed by Mistral AI and was released on November 19, 2024.
Benchmarks from Artificial Analysis, pricing from the OpenRouter API, and verdicts from our own testing.
Last updated: October 8, 2026 8:39 pm