AI models · Mistral AI

Ministral 3 14B

Ministral 3 14B belongs to the Ministral 3 family of small models that Mistral released in December 2025 in 3, 8 and 14 billion parameter sizes. All of them are open under Apache 2.0, understand text and images, and are made to run on a single GPU or directly on a device. They are not the right pick for complex reasoning or coding agents, though.

Strengths

  • Open weights under Apache 2.0, which allows commercial use and modifications.
  • Small enough for a single GPU or a device without the cloud, so your data stays with you.
  • A 256K token context window even at 14 billion parameters, and it understands text and images.
  • Only $0.20 per million input and output tokens in the API.

Weaknesses

  • It is an older generation from December 2025, newer options are Small 4 and Medium 3.5.
  • Mistral does not list a thinking mode for it. For harder tasks, Mistral Small 4 is the better choice.

Best for

  • local and offline use on a single GPU
  • devices without a cloud connection
  • first company trials with sensitive data on your own hardware

Not ideal for

  • complex reasoning
  • coding agents

How to use it in Europe

It is available through the Mistral API across the EU, and data is processed in the EU by default. The real advantage is running it yourself: download the weights for free and run them on your own computer or server, so your data never leaves. The smaller 8B and 3B versions suit even weaker hardware.

Price compared with similar models

0.3 1 3 Ministral 3 14B0.2 Llama 4 Scout0.24 GPT-6 Luna0.5 Muse Glimmer 30B1.2 Qwen3.8-27B3
Output price in USD per 1M tokens (log scale). Lighter bars are open-weight models.

More models from this vendor

  • Mistral Large 4: Mistral's largest model, still in preview. Built for demanding tasks, long documents and security analysis with data kept in the EU.
  • Mistral Medium 3.5: Mistral's mid-size open-weight model and the default in the Vibe app. Good for everyday work and coding with data kept in the EU.
  • Mistral Small 4: Mistral's cheap, fast open model under Apache 2.0 for everyday tasks through the API or on your own server.
  • Codestral 25.08: Mistral's model for code completion right in your editor. Fast and cheap, but dated for autonomous coding agents.
  • Mistral Large 3: Mistral's previous large model with open weights under Apache 2.0. Cheap in the API and suited to your own powerful server.

Similar models from other vendors

  • Gemma 4 31B (Google): Google's largest open model, which you can run on your own computer or server when data must not leave the company.
  • Gemma 4 26B A4B (Google): Google's faster open model for your own server. Close to the larger Gemma 4 31B in quality, but quicker to respond.
  • Muse Glimmer 30B (Meta): Meta's small open model under Apache 2.0 that runs on a single graphics card, even offline.
  • Llama 4 Scout (Meta): The smaller Llama 4 from April 2025, very cheap through providers. Its license grants no rights to people or companies in the EU.
  • Nemotron 3.5 Bolt 74B-A9B (NVIDIA): NVIDIA's open model for AI agents on your own powerful PC, small enough to fit in 24 GB of graphics card memory.
  • GPT-6 Luna (OpenAI): OpenAI's cheapest model, made for high volumes of simple tasks, sorting text and low-cost chatbots.

Sources

Prices and models change often. The data comes from official vendor pricing pages and documentation, and every page shows when it was last checked. Before a larger purchase, confirm the price with the vendor.

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