ministral-3b-2512
Ministral 3 3B is the smallest model in the Ministral 3 family: an efficient tiny language model with vision support for low-cost, low-latency tasks.
Pricing: Input 20 credits / 1M tokens (≈ $0.10), Output 20 credits / 1M tokens (≈ $0.10).
Prices updated
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Ministral 3 3B 2512 API on ModelFold
Ministral 3 3B is the smallest model in the Ministral 3 family: an efficient tiny language model with vision support for low-cost, low-latency tasks. Try Ministral 3 3B 2512 in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.
What Is the Ministral 3 3B 2512 API
Ministral 3 3B 2512 at a glance
Ministral 3 3B 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 131K tokens.
Use it without hosting anything
On ModelFold you call Ministral 3 3B 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 3B 2512
Up to 131K 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 3B 2512 accepts images as input, so a single request can combine instructions with visual or other media.
Function calling
Ministral 3 3B 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 3B 2512 on ModelFold
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Step 1: Try it in the Playground
Open the Playground at the top of this page, type a prompt and see how Ministral 3 3B 2512 responds before writing any code.
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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.
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Step 3: Send a request
Call POST https://modelfold.ai/v1/chat/completions with "model": "ministral-3b-2512" and your messages. Existing OpenAI-compatible SDKs work by changing the base URL and key.
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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 3B 2512
Low-latency experiences
Power chat interfaces, autocomplete and interactive tools where users expect fast responses.
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.
Frequently Asked Questions
What is Ministral 3 3B 2512?⌄
Ministral 3 3B is the smallest model in the Ministral 3 family: an efficient tiny language model with vision support for low-cost, low-latency tasks.
Which inputs does Ministral 3 3B 2512 support?⌄
Ministral 3 3B 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 3B 2512?⌄
Up to 131K tokens, shared between your input and the model’s output.
Does Ministral 3 3B 2512 support function calling?⌄
Yes. Ministral 3 3B 2512 supports tools / function calling through the standard tools parameter of the chat completions API.
How is Ministral 3 3B 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 3B 2512 through the API?⌄
Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "ministral-3b-2512", using your ModelFold API key as the Bearer token.
| Input | 20 credits 1M tokens≈ $0.10 |
| Output | 20 credits 1M tokens≈ $0.10 |
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 →curl https://modelfold.ai/v1/chat/completions \
-H "Authorization: Bearer $MODELFOLD_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"ministral-3b-2512","messages":[{"role":"user","content":"Hello"}]}'