Devstral 2 2512
VerifiedProcesses large multimodal files and text with ease.
About Devstral 2 2512
Devstral 2 2512 features a 262144-token context window that accommodates extensive inputs. Its multimodal architecture handles both text and file data simultaneously. The open-weight release allows users to inspect and adapt the model freely.
Strengths include efficient management of lengthy documents and mixed-modality content. The design prioritizes compatibility with file-based workflows alongside standard text processing. This combination supports detailed analysis without artificial length restrictions.
Typical usage covers large-scale document review, file ingestion tasks, and multimodal research projects. Developers often deploy it for custom applications where transparency and long-context handling are required. The model fits environments needing open-weight multimodal capabilities.
Capabilities
How Devstral 2 2512 compares
Devstral 2 2512 (striped bar) vs other multimodal on intelligence, speed and price.
Price
USD per 1M output tokens · Lower is better · Devstral 2 2512 ranks #26 of 67
Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Long-document analysis and reasoning
The 262144 token context enables processing and reasoning across very large documents or codebases in a single pass.
Multimodal file analysis
It supports multimodal inputs for detailed examination of mixed text, image, and document files.
Guided content generation
Strong instruction following allows reliable creation of custom text and structured outputs from complex prompts.
Strengths & limitations
Strengths
- +Very large 256k token context
- +Native file modality support
- +Multimodal text+file handling
Limitations
- –File support may be format-dependent
- –Multimodal inputs can increase latency
Cost calculator
Estimate what Devstral 2 2512 would cost for your usage.
Based on Devstral 2 2512's $0.40/1M input · $2.00/1M output. Estimate only — actual cost varies by provider and caching.
Quick start
OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. Only the model slug changes between models.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://openrouter.ai/api/v1",
apiKey: process.env.OPENROUTER_API_KEY,
});
const completion = await client.chat.completions.create({
model: "mistralai/devstral-2512",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: mistralai/devstral-2512
Editor's verdict
Devstral 2 2512 is Mistral's open-weight multimodal with a 262K-token context window.
At $2.00 per 1M output tokens, it is mid-priced for its class.
As an open-weight model you can self-host it or call it through a hosted API.
Best suited to very large 256k token context and native file modality support.
Frequently asked questions
The model provides a context window of 262144 tokens.
User reviews
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