Ministral 3 8B 2512
VerifiedMultimodal model handling text and images with 262k-token context.
About Ministral 3 8B 2512
The model uses a multimodal architecture capable of jointly processing textual and visual inputs. With 8 billion parameters and open weights, it is designed for efficient deployment. Its structure prioritizes integration of language and vision capabilities.
A standout strength is the 262144-token context window that accommodates lengthy documents paired with images. Open-weight availability enables fine-tuning and local inference without restrictions. This combination supports scalable and adaptable implementations.
Typical usage covers visual question answering, image-augmented document analysis, and long-context multimodal reasoning. Developers apply it in research prototypes and production systems needing unified text-image understanding. The model fits environments where both openness and extended context are required.
Capabilities
How Ministral 3 8B 2512 compares
Ministral 3 8B 2512 (striped bar) vs other multimodal on intelligence, speed and price.
Price
USD per 1M output tokens · Lower is better · Ministral 3 8B 2512 ranks #2 of 67
Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Long Document Analysis with Visuals
Handles extensive reports or research papers exceeding 200k tokens that incorporate charts and diagrams for integrated reasoning and summarization.
Multimodal Code Development
Generates and debugs code while interpreting UI mockups or architecture diagrams provided as images alongside detailed specifications.
Complex Instruction-Driven Tasks
Follows intricate multi-step instructions across long contexts involving both textual data and visual inputs for tasks like visual question answering.
Strengths & limitations
Strengths
- +Very long context support
- +Efficient 8B multimodal design
- +Strong reasoning and coding performance
- +Flexible text and image handling
Limitations
- –Smaller model size limits depth on complex tasks
- –Vision capabilities may be less refined than specialized models
- –Trade-off between efficiency and peak capability
Cost calculator
Estimate what Ministral 3 8B 2512 would cost for your usage.
Based on Ministral 3 8B 2512's $0.15/1M input · $0.15/1M 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/ministral-8b-2512",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: mistralai/ministral-8b-2512
Editor's verdict
Ministral 3 8B 2512 is Mistral's open-weight multimodal with a 262K-token context window.
At $0.15 per 1M output tokens, it is very cost-efficient for its class.
As an open-weight model you can self-host it or call it through a hosted API.
Best suited to very long context support and efficient 8b multimodal design.
Frequently asked questions
The model supports a context window of 262144 tokens.
User reviews
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Other Ministral models
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