Analysis Summary
Ministral 3 3B is Mistral's compact model for lightweight inference and cost-sensitive workloads. At $0.10 per million tokens for both input and output, it is economical for simple classification, short rewrites, extraction, and other narrowly defined operations.
The benchmark profile shows limited reasoning, coding, long-context handling, instruction following, and tool-oriented reliability. That makes it unsuitable for complex client strategy, autonomous agents, difficult SEO briefs, or unsupervised customer-facing copy. It can still be useful as a routing, filtering, or first-pass model when prompts are tightly constrained and outputs receive validation. Adopt it for volume utility tasks, not as a general-purpose content partner.
Assessed September 7, 2026
Editorial notes
Ministral 3 3B is an inexpensive compact model for simple drafting and classification, priced at $0.10 per million tokens. Its small scale brings weak reasoning, instruction following, coding, and long-context reliability.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Ministral 3 3B is an inexpensive compact model for simple drafting and classification, priced at $0.10 per million tokens. Its small scale brings weak reasoning, instruction following, coding, and long-context reliability.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
4.8 Intelligence Index·4.8 Coding Index·0.8 Agentic Index·22 Math Index
How Ministral 3 3B compares
Ministral 3 3B ranks #421 of 438 AI models we track for overall intelligence, #199 of 210 for coding, #178 of 192 for agentic tasks. At $0.10 per million input tokens it is cheaper than 69% 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 | $0.10 | $0.000100 |
| Output | $0.10 | $0.000100 |
What would Ministral 3 3B 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 Ministral 3 3B for the hard ones. Most clients cut their estimate by 60-80%.
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Frequently asked questions about Ministral 3 3B
How much does Ministral 3 3B cost?
Ministral 3 3B costs $0.10 per million input tokens and $0.10 per million output tokens.
Is Ministral 3 3B good for coding?
On our coding benchmark index, Ministral 3 3B ranks #199 of 210 models, placing it in the broader range of the field for code generation and debugging.
Who created Ministral 3 3B?
Ministral 3 3B is developed by Mistral and was released on December 2, 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: September 18, 2026 8:38 pm