Analysis Summary
Mistral Small 3 is a text-only model with a 32,768-token context window and very low pricing of $0.05 per million input tokens and $0.08 per million output tokens. The supplied results show a low intelligence index, limited coding performance, and weak instruction-following and agentic indicators, although its mathematics and general knowledge results are more useful for selected tasks.
Its cost profile suits high-volume classification, metadata drafting, simple rewriting, and first-pass SEO support. The context window handles ordinary briefs and page content, but the model lacks documented vision, tool use, and function calling in the supplied data. Output should be reviewed for nuanced client copy, precise adherence to complex briefs, and multi-step reasoning. Use it as a budget automation layer where throughput matters more than independent judgement.
Assessed August 9, 2026
Editorial notes
Mistral Small 3 is exceptionally inexpensive and supports a 32K context window, but its supplied reasoning, coding, and instruction-following results point to lightweight automation rather than complex client work.
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DFO Verdict
Mistral Small 3 is exceptionally inexpensive and supports a 32K context window, but its supplied reasoning, coding, and instruction-following results point to lightweight automation rather than complex client work.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
6.7 Intelligence Index·4.3 Math Index
How Mistral: Mistral Small 3 compares
Mistral: Mistral Small 3 ranks #324 of 420 AI models we track for overall intelligence. Its 33K-token context window is larger than 27% of the models we list. At $0.05 per million input tokens it is cheaper than 76% 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 | $0.05 | $0.000050 |
| Output | $0.08 | $0.000080 |
What would Mistral: Mistral Small 3 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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These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Mistral: Mistral Small 3 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Mistral: Mistral Small 3
Mistral Small 3 is a 24B-parameter language model optimized for low-latency performance across common AI tasks. Released under the Apache 2.0 license, it features both pre-trained and instruction-tuned versions designed..
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Frequently asked questions about Mistral: Mistral Small 3
How much does Mistral: Mistral Small 3 cost?
Mistral: Mistral Small 3 costs $0.05 per million input tokens and $0.08 per million output tokens.
What is the context window of Mistral: Mistral Small 3?
Mistral: Mistral Small 3 has a context window of 32,768 tokens (33K).
Who created Mistral: Mistral Small 3?
Mistral: Mistral Small 3 is developed by Mistral and was released on January 30, 2025.
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: August 10, 2026 8:38 pm