Mistral: Ministral 3 14B 2512
Analysis Summary
Ministral 3 14B 2512 is a compact multimodal model designed for economical deployment. It supports image input, tool use, and function calling, while its 262K context window gives it room for long documents and sizeable structured prompts. The measured reasoning and coding results indicate a lightweight system rather than a high-end general model.
The low input and output pricing makes it suitable for classification, content transformation, metadata generation, and routine customer workflows. It can also handle simple tool-driven tasks when failure costs are controlled. Coding and terminal performance are limited, so it should not lead complex software engineering or autonomous agent work. Use it as a volume model for constrained tasks, especially where vision and low token cost matter more than deep reasoning.
Assessed September 7, 2026
Editorial notes
Ministral 3 14B offers low-cost multimodal generation, a 262K context window, and function calling, with useful basic reasoning but limited coding and agentic reliability.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Ministral 3 14B offers low-cost multimodal generation, a 262K context window, and function calling, with useful basic reasoning but limited coding and agentic reliability.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
16 Intelligence Index·10.9 Coding Index·15.9 Agentic Index·30 Math Index
How Mistral: Ministral 3 14B 2512 compares
Mistral: Ministral 3 14B 2512 ranks #161 of 438 AI models we track for overall intelligence, #181 of 210 for coding, #102 of 192 for agentic tasks. Its 262K-token context window is larger than 71% of the models we list. 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 Mistral: Ministral 3 14B 2512 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 Mistral: Ministral 3 14B 2512 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Mistral: Ministral 3 14B 2512
The largest model in the Ministral 3 family, Ministral 3 14B offers frontier capabilities and performance comparable to its larger Mistral Small 3.2 24B counterpart. A powerful and efficient language..
Frequently asked questions about Mistral: Ministral 3 14B 2512
How much does Mistral: Ministral 3 14B 2512 cost?
Mistral: Ministral 3 14B 2512 costs $0.20 per million input tokens and $0.20 per million output tokens.
What is the context window of Mistral: Ministral 3 14B 2512?
Mistral: Ministral 3 14B 2512 has a context window of 262,144 tokens (262K).
Is Mistral: Ministral 3 14B 2512 good for coding?
On our coding benchmark index, Mistral: Ministral 3 14B 2512 ranks #181 of 210 models, placing it in the broader range of the field for code generation and debugging.
What can Mistral: Ministral 3 14B 2512 do?
Mistral: Ministral 3 14B 2512 supports image/vision input, tool use, and function calling.
Who created Mistral: Ministral 3 14B 2512?
Mistral: Ministral 3 14B 2512 is developed by Mistral and was released on December 2, 2025.