Analysis Summary
Mistral Small 4 is a text-and-image model with a 262K context window, tool use, and function calling. Its listed pricing is low, but the supplied intelligence and coding results are modest, and its agentic measurement is particularly limited. The data does not establish it as a dependable choice for complex autonomous workflows or demanding software engineering.
It may suit cost-sensitive, bounded tasks such as basic image-supported extraction, simple classification, or structured requests that use function calling. The large context window is useful capacity, but does not by itself guarantee strong analysis of long documents. Teams should test instruction adherence and output accuracy before exposing it to client-facing content. Consider it for controlled, high-volume use where low cost matters and errors are easy to catch, rather than as a primary reasoning or coding model.
Assessed September 23, 2026
Editorial notes
Mistral Small 4 provides image input, function calling, and a 262K context at low listed prices, but its measured reasoning, coding, and agentic results are limited.
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 Small 4 provides image input, function calling, and a 262K context at low listed prices, but its measured reasoning, coding, and agentic results are limited.
Benchmarks
Artificial Analysis data refreshed Oct 14, 2026. Arena ratings from the Oct 13, 2026 text leaderboard, with style control.
How Mistral: Mistral Small 4 compares
Mistral: Mistral Small 4 ranks #203 of 437 AI models we track for overall intelligence, #111 of 198 for coding, #166 of 181 for agentic tasks. Its 262K-token context window is larger than 75% of the models we list. At $0.15 per million input tokens it is cheaper than 56% 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 | $0.15 | $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.
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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 #111 of 198 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.
Benchmarks from Artificial Analysis, pricing from the OpenRouter API, and verdicts from our own testing.
Last updated: October 14, 2026 8:38 pm