Analysis Summary
Mistral Large 3 2512 (batch) is a multimodal endpoint with image and file input, a 262K-token context, tool use, and function calling. Its listed prices are moderate. No benchmark results are provided for this batch variant, which leaves reasoning, coding, and production reliability unverified.
Its context and input options could support document-heavy tasks and workflows involving visual material, while tool calling enables integration tests. Those features do not establish that outputs are accurate or consistent enough for client delivery. Evaluate it on the team's own content and analysis tasks before adoption, especially if its output will trigger downstream actions. Until then, treat it as a candidate for a controlled trial rather than a preferred general-purpose model.
Assessed September 23, 2026
Editorial notes
Mistral Large 3 (batch) lists vision, file input, a 262K-token context, and tool calling at moderate prices, but no benchmark data is supplied for this endpoint.
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 3 (batch) lists vision, file input, a 262K-token context, and tool calling at moderate prices, but no benchmark data is supplied for this endpoint.
How Mistral: Mistral Large 3 2512 (batch) compares
Its 262K-token context window is larger than 74% of the models we list. At $0.25 per million input tokens it is cheaper than 48% 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 | $0.25 | $0.000250 |
| Output | $0.75 | $0.000750 |
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 $0.25 per million input tokens and $0.75 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.
Benchmarks from Artificial Analysis, pricing from the OpenRouter API, and verdicts from our own testing.
Last updated: October 22, 2026 8:38 pm