devstral-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.
Pricing: Input 80 credits / 1M tokens (≈ $0.40), Output 400 credits / 1M tokens (≈ $2.00).
Prices updated
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.
More AI models from Mistral AI
Latest and popular AI models
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
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
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": "devstral-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 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.
| Input | 80 credits 1M tokens≈ $0.40 |
| Output | 400 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 →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"}]}'





