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Ministral 3 14B 2512OPEN
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.
Prices update automatically — checked daily against provider list prices.
- $0.2 per 1M tokens, assuming 3 input for 1 output the convention used by Artificial Analysis
- cheaper than 62% of the 191 open-weight models tracked here
- 7 of 19 Mistral AI models tracked here, from cheapest
Benchmarks & performance
Independent benchmark scores for Ministral 3 14B 2512, measured by Artificial Analysis. Higher is better.
For the same budget, Ministral 3 14B 2512 delivers 8.9 times more capability. Open weights also mean you can self-host it and pay nothing per token.
Models at this level cost $0.23 per 1M tokens (median of 19) — this one costs $0.2.
Cheaper and better on this index: GLM 5.3 Flash · DeepSeek V4 Flash 0731 · DeepSeek V4 Flash 0423 and 19 more
About this model
Ministral 3 14B 2512 is an open-weight AI model by Mistral AI. You can download and self-host it for free; the prices below are hosted-API list prices, tracked daily, for when you prefer convenience over self-hosting.
Frequently asked questions
What is Ministral 3 14B 2512?
Ministral 3 14B 2512 is an AI language model from Mistral AI. It is open-weight: you can download it and run it on your own hardware, for free. It scores 11.2 on the Artificial Analysis intelligence index.
Is Ministral 3 14B 2512 free?
The weights are free and open — you can self-host Ministral 3 14B 2512 and pay nothing per token. If you prefer a hosted API, list prices are $0.2 per million input tokens and $0.2 per million output tokens.
What is Ministral 3 14B 2512 good at?
Independent benchmarks from Artificial Analysis give it GPQA 57.2%, MMLU-Pro 69.3%, Humanity's Last Exam 4.6%, Long Context Reasoning 25%, LiveCodeBench 35.1%, SciCode 23.6%, AIME 2025 30%, IFBench 32%, τ²-Bench 27.2%, τ-Bench Banking 6.6%, Terminal-Bench 9.7%, Terminal-Bench Hard 4.5%. It is particularly used for code generation.
How fast is Ministral 3 14B 2512?
It generates about 97.8 tokens per second, with a median 0.56s delay before the first token. Measured independently by Artificial Analysis.
Can I self-host Ministral 3 14B 2512?
Yes. Ministral 3 14B 2512 has open weights, so you can download it and run it on your own GPU or server with tools like Ollama, vLLM or llama.cpp — with no per-token cost.