Analysis Summary
Ministral 3 8B is a Mistral model with an intelligence index of 9.0 and a coding index of 9.7. It improves on the smaller Ministral entry for coding and live coding, while remaining priced at only $0.15 per million input and output tokens. Results for reasoning, instruction following, long-context work, agentic tasks, and tool-oriented success are still low.
The model can fit inexpensive preprocessing, classification, short transformations, and coding experiments where outputs are tested automatically. It is not a suitable lead model for client-facing content, strategic SEO, complex codebases, document analysis, or autonomous agents. No context-window, vision, or function-calling details are supplied.
Choose it for cost-sensitive, tightly bounded volume tasks with strong safeguards. Route ambiguous or quality-sensitive requests to a more capable model.
Assessed August 9, 2026
Editorial notes
Ministral 3 8B offers very low token pricing and better coding results than the smaller variant, but its measured reasoning, agentic, instruction-following, and long-context capability remains limited.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Ministral 3 8B offers very low token pricing and better coding results than the smaller variant, but its measured reasoning, agentic, instruction-following, and long-context capability remains limited.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
9 Intelligence Index·9.7 Coding Index·1.2 Agentic Index·31.7 Math Index
How Ministral 3 8B compares
Ministral 3 8B ranks #295 of 433 AI models we track for overall intelligence, #182 of 206 for coding, #175 of 188 for agentic tasks. 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 | $0.15 | $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 748 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%.
Talk to our teamExplore Related Models
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 #182 of 206 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 3, 2026 8:38 pm