Analysis Summary
Mistral Small 4 is an economical multimodal model for straightforward text and image tasks. A 262K context window, tool use, and function calling give it practical workflow coverage, while vision support helps with visual documents and basic analysis. Its general reasoning, coding, and agentic capability are better suited to bounded tasks than demanding autonomous work.
The low token prices make it attractive for classification, content transformation, metadata generation, and high-volume document intake. It can support routine SEO production with editorial checks, but it should not be the default for complex strategy, sensitive client analysis, or difficult code. Adopt it where cost control and multimodal input matter more than depth.
Assessed September 7, 2026
Editorial notes
Mistral Small 4 offers vision, tool calling, a 262K context, and low pricing for routine content and document workflows, but its reasoning and coding capability are limited.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Mistral Small 4 offers vision, tool calling, a 262K context, and low pricing for routine content and document workflows, but its reasoning and coding capability are limited.
How Mistral: Mistral Small 4 compares
Mistral: Mistral Small 4 ranks #217 of 438 AI models we track for overall intelligence, #126 of 210 for coding, #164 of 192 for agentic tasks. Its 262K-token context window is larger than 71% of the models we list. At $0.15 per million input tokens it is cheaper than 60% 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 value. The pulled-in intelligence 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 | $0.15 | $0.000150 |
| Output | $0.60 | $0.000600 |
What would Mistral: Mistral Small 4 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 779 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Mistral: Mistral Small 4 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Mistral: Mistral Small 4
Mistral Small 4 is the next major release in the Mistral Small family, unifying the capabilities of several flagship Mistral models into a single system. It combines strong reasoning from..
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Frequently asked questions about Mistral: Mistral Small 4
How much does Mistral: Mistral Small 4 cost?
Mistral: Mistral Small 4 costs $0.15 per million input tokens and $0.60 per million output tokens.
What is the context window of Mistral: Mistral Small 4?
Mistral: Mistral Small 4 has a context window of 262,144 tokens (262K).
Is Mistral: Mistral Small 4 good for coding?
On our coding benchmark index, Mistral: Mistral Small 4 ranks #126 of 210 models, placing it in the broader range of the field for code generation and debugging.
What can Mistral: Mistral Small 4 do?
Mistral: Mistral Small 4 supports image/vision input, tool use, and function calling.
Who created Mistral: Mistral Small 4?
Mistral: Mistral Small 4 is developed by Mistral and was released on March 16, 2026.
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 18, 2026 8:38 pm