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Ministral 3 14B 2512OPEN
Ministral 3 14B 2512 (Mistral AI): live API pricing, context window and the best open-source alternatives, tracked daily by OpenSourceAI.tech.
Prices update automatically — checked hourly against provider list prices.
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 9.1 times more capability. Open weights also mean you can self-host it and pay nothing per token.
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 hourly, 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 11.1 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 22%, 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 71.5 tokens per second, with a median 0.51s 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.
Open-source alternatives
Depending on your workload, an open-weight model that you can self-host may cut costs dramatically or remove per-token pricing entirely. Our comparison pages put this model side by side with the strongest open-source contenders.