Analysis Summary
Ministral 3 14B is a compact Mistral model that improves on the smaller 3B and 8B variants in reasoning and coding while retaining a low $0.20 per million token price for input and output. It is suited to economical processing where moderate language capability is sufficient.
Potential uses include content transformation, structured extraction, code assistance, and short analytical tasks with human review. Its long-context, instruction-following, terminal, and agentic results remain limited, so it should not run complex client agents or manage difficult, multi-step projects independently. For agencies, it is a useful volume or fallback model when cost and compact deployment matter more than broad capability.
Assessed September 7, 2026
Editorial notes
Ministral 3 14B is a low-cost compact model with the strongest general and coding profile among the Ministral variants listed here. Weak agentic and long-context results limit it to supervised content and utility tasks.
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 with the strongest general and coding profile among the Ministral variants listed here. Weak agentic and long-context results limit it to supervised content and utility tasks.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
6 Intelligence Index·14.4 Coding Index·1.1 Agentic Index·30 Math Index
How Ministral 3 14B compares
Ministral 3 14B ranks #360 of 438 AI models we track for overall intelligence, #168 of 210 for coding, #170 of 192 for agentic tasks. At $0.20 per million input tokens it is cheaper than 56% 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?
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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 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 #168 of 210 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: September 18, 2026 8:38 pm