Mistral AI

MMinistral 3 14B 2512OPEN

Ministral 3 14B 2512 (Mistral AI): live API pricing, context window and the best open-source alternatives, tracked daily by olud.ai.

Context window
262K
tokens
Input price
$0.2
per M tokens
Output price
$0.2
per M tokens
Provider
Mistral AI

Prices update automatically — checked hourly against provider list prices.

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Benchmarks & performance

Independent benchmark scores for Ministral 3 14B 2512, measured by Artificial Analysis. Higher is better.

9.1×
More intelligence per dollar than Claude Opus 5 (Fast).
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.
Intelligence index11.1
Coding index14.4
Math index30
GPQA57.2%
MMLU-Pro69.3%
Humanity's Last Exam4.6%
Long Context Reasoning22%
LiveCodeBench35.1%
SciCode23.6%
AIME 202530%
IFBench32%
τ²-Bench27.2%
τ-Bench Banking6.6%
Terminal-Bench9.7%
Terminal-Bench Hard4.5%
⚡ Speed69.9 tokens/sec
⏱ Latency0.54s to first token
💰 Blended price$0.2 / 1M tokens
📈 Value55.5 intelligence points per $
Benchmark data by Artificial Analysis

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 69.9 tokens per second, with a median 0.54s 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.

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