Analysis Summary
Mistral Small 4 is a compact multimodal model with text and image input, a 262K context window, tool use, and function calling. Its low input and output pricing support frequent workflow calls, while the long context is useful for briefs, knowledge bases, and document batches. The feature set gives it broader operational range than a text-only small model.
For Design for Online, likely uses include SEO production, content transformation, image-aware briefs, extraction, and internal assistants that call approved tools. The batch variant has no independent benchmark data in the supplied record, so coding, reasoning, and tool reliability should be verified before autonomous deployment. It is a strong value-oriented candidate for supervised workflows, with escalation to a more capable model when instructions are ambiguous or consequences are material.
Assessed September 1, 2026
Editorial notes
Mistral Small 4 offers vision, a 262K context window, tool use, and function calling at low pricing. With no independent benchmark data for this batch variant, it is best positioned as a flexible, supervised workhorse rather than a flagship.
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DFO Verdict
Mistral Small 4 offers vision, a 262K context window, tool use, and function calling at low pricing. With no independent benchmark data for this batch variant, it is best positioned as a flexible, supervised workhorse rather than a flagship.
How Mistral: Mistral Small 4 (batch) compares
Its 262K-token context window is larger than 72% of the models we list. At $0.15 per million input tokens it is cheaper than 61% 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 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 | $0.15 | $0.000150 |
| Output | $0.60 | $0.000600 |
What would Mistral: Mistral Small 4 (batch) 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 748 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Mistral: Mistral Small 4 (batch) for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Mistral: Mistral Small 4 (batch)
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 (batch)
How much does Mistral: Mistral Small 4 (batch) cost?
Mistral: Mistral Small 4 (batch) costs $0.15 per million input tokens and $0.60 per million output tokens.
What is the context window of Mistral: Mistral Small 4 (batch)?
Mistral: Mistral Small 4 (batch) has a context window of 262,144 tokens (262K).
What can Mistral: Mistral Small 4 (batch) do?
Mistral: Mistral Small 4 (batch) supports image/vision input, tool use, and function calling.
Who created Mistral: Mistral Small 4 (batch)?
Mistral: Mistral Small 4 (batch) 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 3, 2026 8:38 pm