Mistral Large 3 2512
VerifiedOpen-weight multimodal model for long-context text, image, and file tasks.
About Mistral Large 3 2512
Mistral Large 3 2512 features a transformer-based architecture optimized for multimodal inputs. It accepts combined text, image, and file data streams while maintaining coherence across very long sequences. The open-weight release allows full customization and local deployment.
Its primary strengths include robust handling of extended contexts and integrated visual-textual reasoning. The model processes diverse file types alongside natural language without requiring external preprocessing tools. This design reduces latency in complex workflows compared to chained single-modality systems.
Typical usage covers document analysis, visual question answering, and multi-turn conversations involving images or attachments. Developers integrate it into research pipelines or enterprise tools where large context retention and open licensing are priorities. It suits scenarios demanding both high capacity and transparency.
Capabilities
How Mistral Large 3 2512 compares
Mistral Large 3 2512 (striped bar) vs other multimodal on intelligence, speed and price.
Price
USD per 1M output tokens · Lower is better · Mistral Large 3 2512 ranks #42 of 124
Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Long-Form Document Reasoning
Ideal for analyzing and drawing conclusions from very long texts combined with images, leveraging its 262144 token context window for comprehensive understanding.
Visual Data Interpretation
Excels in vision understanding tasks such as processing charts, diagrams, and photographs alongside textual queries for detailed multimodal analysis.
Complex Coding Projects
Supports code generation and reasoning with intricate instructions, making it suitable for developing applications that incorporate file inputs and visual elements.
Strengths & limitations
Strengths
- +Very large context window
- +Native multimodal support
- +Strong general reasoning
- +Flexible input handling
Limitations
- –High compute requirements
- –No native audio or video support
- –Larger models can be slower to respond
Cost calculator
Estimate what Mistral Large 3 2512 would cost for your usage.
Based on Mistral Large 3 2512's $0.50/1M input · $1.50/1M 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/mistral-large-2512",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: mistralai/mistral-large-2512
Editor's verdict
Mistral Large 3 2512 is Mistral's proprietary multimodal with a 262K-token context window.
At $1.50 per 1M output tokens, it is mid-priced for its class.
It is available through Mistral's API and aggregators like OpenRouter.
Best suited to very large context window and native multimodal support.
Frequently asked questions
The model supports a context window of 262144 tokens.
User reviews
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