Analysis Summary
Mistral Large 3 2512 is a large multimodal Mistral model intended for broad production use. It handles text, images, and files, with a 262K context window, tool use, and function calling. That combination supports long documents, campaign assets, structured research, and assistants that need to interact with business systems.
Design for Online could evaluate it for content operations, document-heavy analysis, multimodal briefs, and supervised agents. The main limitation is evidential: this batch variant has no independent benchmark results in the supplied data, so reasoning, instruction following, and coding reliability are not established here. Its output price remains moderate rather than minimal, making quality testing important before routing large volumes. It is a promising general workflow candidate, subject to prompt and tool-call evaluations.
Assessed September 1, 2026
Editorial notes
Mistral Large 3 2512 combines a 262K context window with vision, file input, tool use, and function calling at moderate pricing. It has no independent benchmark data for this batch variant, so high-stakes reasoning needs validation.
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DFO Verdict
Mistral Large 3 2512 combines a 262K context window with vision, file input, tool use, and function calling at moderate pricing. It has no independent benchmark data for this batch variant, so high-stakes reasoning needs validation.
How Mistral: Mistral Large 3 2512 (batch) compares
Its 262K-token context window is larger than 72% of the models we list. At $0.50 per million input tokens it is cheaper than 39% 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.
Strongest on business fit. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.50 | $0.000500 |
| Output | $1.50 | $0.001500 |
What would Mistral: Mistral Large 3 2512 (batch) cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
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These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Mistral: Mistral Large 3 2512 (batch) for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Mistral: Mistral Large 3 2512 (batch)
Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license.
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Frequently asked questions about Mistral: Mistral Large 3 2512 (batch)
How much does Mistral: Mistral Large 3 2512 (batch) cost?
Mistral: Mistral Large 3 2512 (batch) costs $0.50 per million input tokens and $1.50 per million output tokens.
What is the context window of Mistral: Mistral Large 3 2512 (batch)?
Mistral: Mistral Large 3 2512 (batch) has a context window of 262,144 tokens (262K).
What can Mistral: Mistral Large 3 2512 (batch) do?
Mistral: Mistral Large 3 2512 (batch) supports image/vision input, tool use, and function calling.
Who created Mistral: Mistral Large 3 2512 (batch)?
Mistral: Mistral Large 3 2512 (batch) is developed by Mistral and was released on December 1, 2025.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: September 4, 2026 8:38 pm