mistral-large-2512
Mistral Large 3 2512 is a highly capable Mistral model with a sparse Mixture-of-Experts architecture of 41B active parameters (675B total), released under the Apache 2.0 license.
Pricing: Input 100 credits / 1M tokens (≈ $0.50), Output 300 credits / 1M tokens (≈ $1.50).
Prices updated
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Mistral Large 3 2512 API on ModelFold
Mistral Large 3 2512 is a highly capable Mistral model with a sparse Mixture-of-Experts architecture of 41B active parameters (675B total), released under the Apache 2.0 license. Try Mistral Large 3 2512 in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.
What Is the Mistral Large 3 2512 API
Mistral Large 3 2512 at a glance
Mistral Large 3 2512 is a chat model from Mistral AI. It accepts text, images and files (such as PDF) as input and returns text, with a context window of up to 262K tokens.
Use it without hosting anything
On ModelFold you call Mistral Large 3 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 Mistral Large 3 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 and files (such as PDF)
Besides text, Mistral Large 3 2512 accepts images and files (such as PDF) as input, so a single request can combine instructions with visual or other media.
Function calling
Mistral Large 3 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 Mistral Large 3 2512 on ModelFold
- 1
Step 1: Try it in the Playground
Open the Playground at the top of this page, type a prompt and see how Mistral Large 3 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.
- 3
Step 3: Send a request
Call POST https://modelfold.ai/v1/chat/completions with "model": "mistral-large-2512" and your messages. Existing OpenAI-compatible SDKs work by changing the base URL and key.
- ✓
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 Mistral Large 3 2512
Enterprise workflows
Automate internal processes such as reporting, knowledge-base Q&A, ticket handling and document review.
Analysis and complex reasoning
Work through research questions, data interpretation, planning and other problems that need careful step-by-step reasoning.
Screenshot and image understanding
Read screenshots, charts, diagrams and photos alongside text — for UI review, visual QA or turning images into structured data.
Multilingual products
Serve users in many languages with translation, localized support replies and cross-language search.
Frequently Asked Questions
What is Mistral Large 3 2512?⌄
Mistral Large 3 2512 is a highly capable Mistral model with a sparse Mixture-of-Experts architecture of 41B active parameters (675B total), released under the Apache 2.0 license.
Which inputs does Mistral Large 3 2512 support?⌄
Mistral Large 3 2512 accepts text, images and files (such as PDF) 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 Mistral Large 3 2512?⌄
Up to 262K tokens, shared between your input and the model’s output.
Does Mistral Large 3 2512 support function calling?⌄
Yes. Mistral Large 3 2512 supports tools / function calling through the standard tools parameter of the chat completions API.
How is Mistral Large 3 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 Mistral Large 3 2512 through the API?⌄
Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "mistral-large-2512", using your ModelFold API key as the Bearer token.
| Input | 100 credits 1M tokens≈ $0.50 |
| Output | 300 credits 1M tokens≈ $1.50 |
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":"mistral-large-2512","messages":[{"role":"user","content":"Hello"}]}'