Analysis Summary
Ministral 3 8B is a compact Mistral model designed for economical deployment. Its coding results are stronger than its general reasoning profile, and the $0.15 per million token price for both input and output makes it practical for high-volume, narrowly scoped processing.
It can handle simple code transformations, extraction, classification, and short content workflows with appropriate checks. Weak long-context, instruction-following, terminal, and agentic results limit its usefulness for autonomous development, complex SEO planning, or high-stakes customer communication. Use it as a low-cost utility model where prompts and outputs can be tightly controlled, rather than as a flexible primary assistant.
Assessed September 7, 2026
Editorial notes
Ministral 3 8B offers inexpensive inference at $0.15 per million tokens and better coding than the smaller Ministral variants. Limited reasoning, long-context, and agentic performance keep it suited to constrained automation rather than complex client work.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Ministral 3 8B offers inexpensive inference at $0.15 per million tokens and better coding than the smaller Ministral variants. Limited reasoning, long-context, and agentic performance keep it suited to constrained 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.
5.5 Intelligence Index·9.7 Coding Index·0.6 Agentic Index·31.7 Math Index
How Ministral 3 8B compares
Ministral 3 8B ranks #384 of 438 AI models we track for overall intelligence, #186 of 210 for coding, #185 of 192 for agentic tasks. 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 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 | $0.15 | $0.000150 |
What would Ministral 3 8B cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
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 8B for the hard ones. Most clients cut their estimate by 60-80%.
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Frequently asked questions about Ministral 3 8B
How much does Ministral 3 8B cost?
Ministral 3 8B costs $0.15 per million input tokens and $0.15 per million output tokens.
Is Ministral 3 8B good for coding?
On our coding benchmark index, Ministral 3 8B ranks #186 of 210 models, placing it in the broader range of the field for code generation and debugging.
Who created Ministral 3 8B?
Ministral 3 8B 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