Mistral: Pixtral Large 2411
Analysis Summary
Mistral's Pixtral Large 2411 is a multimodal model accepting text, images, and files, with a 131K context window plus tool use and function calling. Its supplied results show stronger instruction following, coding signals, and structured task performance than many lower-cost models in this batch. That combination makes it useful for mixed-format business work rather than text generation alone.
It is well suited to image-aware SEO reviews, document extraction, content briefs, research synthesis, and tool-connected assistants. The reasoning index remains far below current frontier models, and the context is smaller than the largest long-document systems. Use it as a versatile secondary model for multimodal and structured workloads, especially when premium flagship pricing is unnecessary.
Assessed August 9, 2026
Editorial notes
Pixtral Large 2411 combines vision and file input with a 131K context, tool use, function calling, and useful coding signals, making it a versatile document and content model at mid-range pricing.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Pixtral Large 2411 combines vision and file input with a 131K context, tool use, function calling, and useful coding signals, making it a versatile document and content model at mid-range pricing.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
8 Intelligence Index·2.3 Math Index
How Mistral: Pixtral Large 2411 compares
Mistral: Pixtral Large 2411 ranks #311 of 427 AI models we track for overall intelligence. Its 131K-token context window is larger than 50% 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 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 | $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.
Full calculator with 714 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Mistral: Pixtral Large 2411 for the hard ones. Most clients cut their estimate by 60-80%.
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.