Mistral: Pixtral Large 2411
Analysis Summary
Pixtral Large 2411 is Mistral's multimodal large model, accepting text, images, and files across a 131K context window. It includes tool use and function calling, which extends it beyond straightforward generation into document workflows, structured extraction, and API-assisted tasks. The supplied benchmark profile indicates limited reasoning depth, so it should not be treated as a frontier problem-solving model.
Its practical fit is strongest in visual content review, document summarisation, image-aware SEO workflows, and structured marketing operations. Moderate input and output pricing support regular use, although the model's instruction-following and long-context results suggest that important client deliverables still need validation. It is less suitable for difficult autonomous coding or complex multi-step agents.
Choose Pixtral when multimodal handling and manageable cost matter more than maximum reasoning quality.
Assessed September 7, 2026
Editorial notes
Pixtral Large 2411 combines image and file understanding, a 131K context window, tool use, and function calling at moderate pricing, making it useful for document-rich content workflows despite limited reasoning depth.
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DFO Verdict
Pixtral Large 2411 combines image and file understanding, a 131K context window, tool use, and function calling at moderate pricing, making it useful for document-rich content workflows despite limited reasoning depth.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
2.5 Intelligence Index·2.3 Math Index
How Mistral: Pixtral Large 2411 compares
Mistral: Pixtral Large 2411 ranks #333 of 435 AI models we track for overall intelligence. Its 131K-token context window is larger than 48% of the models we list. At $2.00 per million input tokens it is cheaper than 18% 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 content. 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 | $2.00 | $0.002000 |
| Output | $6.00 | $0.006000 |
What would Mistral: Pixtral Large 2411 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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Talk to our teamAbout Mistral: Pixtral Large 2411
Pixtral Large is a 124B parameter, open-weight, multimodal model built on top of Mistral Large 2. The model is able to understand documents, charts and natural images. The model is..
Frequently asked questions about Mistral: Pixtral Large 2411
How much does Mistral: Pixtral Large 2411 cost?
Mistral: Pixtral Large 2411 costs $2.00 per million input tokens and $6.00 per million output tokens.
What is the context window of Mistral: Pixtral Large 2411?
Mistral: Pixtral Large 2411 has a context window of 131,072 tokens (131K).
What can Mistral: Pixtral Large 2411 do?
Mistral: Pixtral Large 2411 supports image/vision input, tool use, and function calling.
Who created Mistral: Pixtral Large 2411?
Mistral: Pixtral Large 2411 is developed by Mistral and was released on November 19, 2024.