mistral-large-2407
Mistral Large 2407 is Mistral Large 2, a proprietary weights-available flagship from Mistral AI that is strong at reasoning, code, JSON and chat.
Pricing: Input 480 credits / 1M tokens (≈ $2.40), Output 1440 credits / 1M tokens (≈ $7.20).
Prices updated
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Mistral Large 2407 API on ModelFold
Mistral Large 2407 is Mistral Large 2, a proprietary weights-available flagship from Mistral AI that is strong at reasoning, code, JSON and chat. Try Mistral Large 2407 in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.
What Is the Mistral Large 2407 API
Mistral Large 2407 at a glance
Mistral Large 2407 is a chat model from Mistral AI. It accepts text and files (such as PDF) as input and returns text, with a context window of up to 131K tokens.
Use it without hosting anything
On ModelFold you call Mistral Large 2407 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 2407
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 files (such as PDF)
Besides text, Mistral Large 2407 accepts files (such as PDF) as input, so a single request can combine instructions with visual or other media.
Function calling
Mistral Large 2407 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 2407 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 2407 responds before writing any code.
- 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
Step 3: Send a request
Call POST https://modelfold.ai/v1/chat/completions with "model": "mistral-large-2407" 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 2407
Analysis and complex reasoning
Work through research questions, data interpretation, planning and other problems that need careful step-by-step reasoning.
AI coding assistants
Generate, explain, debug and refactor code, review pull requests and work through multi-file changes in developer tools and IDE plugins.
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 Mistral Large 2407?⌄
Mistral Large 2407 is Mistral Large 2, a proprietary weights-available flagship from Mistral AI that is strong at reasoning, code, JSON and chat.
Which inputs does Mistral Large 2407 support?⌄
Mistral Large 2407 accepts text and files (such as PDF) and returns text. Through ModelFold you send text messages; documents attached in the Playground are converted to text.
How long is the context window of Mistral Large 2407?⌄
Up to 131K tokens, shared between your input and the model’s output.
Does Mistral Large 2407 support function calling?⌄
Yes. Mistral Large 2407 supports tools / function calling through the standard tools parameter of the chat completions API.
How is Mistral Large 2407 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 2407 through the API?⌄
Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "mistral-large-2407", using your ModelFold API key as the Bearer token.
| Input | 480 credits 1M tokens≈ $2.40 |
| Output | 1440 credits 1M tokens≈ $7.20 |
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 →curl https://modelfold.ai/v1/chat/completions \
-H "Authorization: Bearer $MODELFOLD_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"mistral-large-2407","messages":[{"role":"user","content":"Hello"}]}'