Analysis Summary
Ministral 3 14B is Mistral's compact open model, positioned for lower-cost inference rather than complex reasoning. Its general benchmark profile is limited, while coding and agentic results are weaker still. Instruction following and long-context results also point to a model best used within narrow, well-defined tasks.
The model can support classification, short drafts, metadata generation, and other predictable content operations where low input and output pricing matter. It is less suitable for autonomous agents, codebase work, research synthesis, or client-facing copy that requires nuanced judgement. The absence of supplied context and tooling details also limits confidence for document-heavy workflows.
Use Ministral 3 14B for high-volume routine automation with validation around every output. It is not the preferred choice for strategic content or complex software work.
Assessed August 9, 2026
Editorial notes
Ministral 3 14B is a low-cost compact model suited to routine text generation and lightweight coding, with limited agentic reliability and reasoning depth for demanding client workflows.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Ministral 3 14B is a low-cost compact model suited to routine text generation and lightweight coding, with limited agentic reliability and reasoning depth for demanding client workflows.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
11.2 Intelligence Index·14.4 Coding Index·2.2 Agentic Index·30 Math Index
How Ministral 3 14B compares
Ministral 3 14B ranks #251 of 420 AI models we track for overall intelligence, #152 of 193 for coding, #142 of 175 for agentic tasks. At $0.20 per million input tokens it is cheaper than 57% 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 | $0.20 | $0.000200 |
| Output | $0.20 | $0.000200 |
What would Ministral 3 14B 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 688 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Ministral 3 14B for the hard ones. Most clients cut their estimate by 60-80%.
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Frequently asked questions about Ministral 3 14B
How much does Ministral 3 14B cost?
Ministral 3 14B costs $0.20 per million input tokens and $0.20 per million output tokens.
Is Ministral 3 14B good for coding?
On our coding benchmark index, Ministral 3 14B ranks #152 of 193 models, placing it in the broader range of the field for code generation and debugging.
Who created Ministral 3 14B?
Ministral 3 14B 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: August 10, 2026 8:38 pm