Loading template…
⚡ Run with API

Devstral 2 is an open-source Mistral AI model specialized in agentic coding: a 123B-parameter dense transformer with a 256K-token context window for exploring and changing codebases.

Pricing: Input 80 credits / 1M tokens (≈ $0.40), Output 400 credits / 1M tokens (≈ $2.00).

Prices updated

Conversation
✦

How can I help you today?

This demo page does not include the full memory features of the client. For the complete experience, please use the client or the CLI.

≡
README
Complete guide to using Devstral 2 2512

Devstral 2 2512 API on ModelFold

Devstral 2 is an open-source Mistral AI model specialized in agentic coding: a 123B-parameter dense transformer with a 256K-token context window for exploring and changing codebases. Try Devstral 2 2512 in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.

What Is the Devstral 2 2512 API

Devstral 2 2512 at a glance

Devstral 2 2512 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 262K tokens.

Use it without hosting anything

On ModelFold you call Devstral 2 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 Devstral 2 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 files (such as PDF)

Besides text, Devstral 2 2512 accepts files (such as PDF) as input, so a single request can combine instructions with visual or other media.

Function calling

Devstral 2 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 Devstral 2 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 Devstral 2 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": "devstral-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 Devstral 2 2512

AI coding assistants

Generate, explain, debug and refactor code, review pull requests and work through multi-file changes in developer tools and IDE plugins.

Autonomous agents

Build agents that plan multi-step tasks, call your tools and APIs, and keep working toward a goal across long sessions.

Tool-calling backends

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

Long-document workflows

Feed in long reports, contracts, manuals or codebases and ask for summaries, comparisons and answers grounded in the material.

Frequently Asked Questions

What is Devstral 2 2512?⌄

Devstral 2 is an open-source Mistral AI model specialized in agentic coding: a 123B-parameter dense transformer with a 256K-token context window for exploring and changing codebases.

Which inputs does Devstral 2 2512 support?⌄

Devstral 2 2512 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 Devstral 2 2512?⌄

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

Does Devstral 2 2512 support function calling?⌄

Yes. Devstral 2 2512 supports tools / function calling through the standard tools parameter of the chat completions API.

How is Devstral 2 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 Devstral 2 2512 through the API?⌄

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

Rate card
Input80 credits 1M tokens≈ $0.40
Output400 credits 1M tokens≈ $2.00

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":"devstral-2512","messages":[{"role":"user","content":"Hello"}]}'