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⚡ Run with API

Ministral 3 14B is the largest model in the Ministral 3 family, offering performance comparable to the larger Mistral Small 3.2 24B in a powerful, efficient package.

Pricing: Input 40 credits / 1M tokens (≈ $0.20), Output 40 credits / 1M tokens (≈ $0.20).

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README
Complete guide to using Ministral 3 14B 2512

Ministral 3 14B 2512 API on ModelFold

Ministral 3 14B is the largest model in the Ministral 3 family, offering performance comparable to the larger Mistral Small 3.2 24B in a powerful, efficient package. Try Ministral 3 14B 2512 in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.

What Is the Ministral 3 14B 2512 API

Ministral 3 14B 2512 at a glance

Ministral 3 14B 2512 is a chat model from Mistral AI. It accepts text and images as input and returns text, with a context window of up to 262K tokens.

Use it without hosting anything

On ModelFold you call Ministral 3 14B 2512 with a single API key — no model weights to download and no inference servers to run. The same key also works for the other chat, image, video and audio models on ModelFold.

Core Capabilities of Ministral 3 14B 2512

Up to 262K tokens of context

Keep long conversations, large documents and sizeable code in a single request, so the model can reason over the full material instead of fragments.

Understands images

Besides text, Ministral 3 14B 2512 accepts images as input, so a single request can combine instructions with visual or other media.

Function calling

Ministral 3 14B 2512 supports tool (function) calling: describe your functions in the request and the model returns structured calls your code can run — the basis for agents and integrations.

Structured outputs

Ask for JSON that follows a schema (response_format), which makes extraction, classification and system integrations more reliable.

How to Use Ministral 3 14B 2512 on ModelFold

  1. 1

    Step 1: Try it in the Playground

    Open the Playground at the top of this page, type a prompt and see how Ministral 3 14B 2512 responds before writing any code.

  2. 2

    Step 2: Create an API key

    Sign in to ModelFold and create an API key in the console. Keep it secret and send it as a Bearer token.

  3. 3

    Step 3: Send a request

    Call POST https://modelfold.ai/v1/chat/completions with "model": "ministral-14b-2512" and your messages. Existing OpenAI-compatible SDKs work by changing the base URL and key.

  4. ✓

    Step 4: Ship and monitor

    Integrate the response into your product and check token usage and spend for every call in the console logs.

What You Can Build with Ministral 3 14B 2512

High-volume pipelines

Run classification, extraction, rewriting and batch jobs at scale where cost per request matters.

Screenshot and image understanding

Read screenshots, charts, diagrams and photos alongside text — for UI review, visual QA or turning images into structured data.

Tool-calling backends

Route requests, call functions and chain API calls as the worker model inside larger agent systems.

Multilingual products

Serve users in many languages with translation, localized support replies and cross-language search.

Frequently Asked Questions

What is Ministral 3 14B 2512?⌄

Ministral 3 14B is the largest model in the Ministral 3 family, offering performance comparable to the larger Mistral Small 3.2 24B in a powerful, efficient package.

Which inputs does Ministral 3 14B 2512 support?⌄

Ministral 3 14B 2512 accepts text and images and returns text. Through ModelFold you can send text and images (OpenAI-style image_url content); in the Playground you can also attach documents, which are converted to text.

How long is the context window of Ministral 3 14B 2512?⌄

Up to 262K tokens, shared between your input and the model’s output.

Does Ministral 3 14B 2512 support function calling?⌄

Yes. Ministral 3 14B 2512 supports tools / function calling through the standard tools parameter of the chat completions API.

How is Ministral 3 14B 2512 billed on ModelFold?⌄

Pay as you go by tokens: input and output tokens are charged at the per-million-token prices shown on this page. There is no monthly fee, and failed requests are not charged.

How do I call Ministral 3 14B 2512 through the API?⌄

Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "ministral-14b-2512", using your ModelFold API key as the Bearer token.

Rate card
Input40 credits 1M tokens≈ $0.20
Output40 credits 1M tokens≈ $0.20

Billed per token: input and output are priced separately, and thinking tokens count as output. The Playground charges exactly the same way.

Read API docs →AI Agents · Claude Code / Cursor / Trae →
Quick start
POST/v1/chat/completions
curl https://modelfold.ai/v1/chat/completions \
  -H "Authorization: Bearer $MODELFOLD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"ministral-14b-2512","messages":[{"role":"user","content":"Hello"}]}'