Ministral 3 3B 2512
VerifiedMistral's open multimodal model handles text and images with a 128k context window.
About Ministral 3 3B 2512
The architecture combines vision and language processing in one system. Mistral releases it with open weights to encourage customization and local deployment. Its large context length enables analysis of lengthy documents paired with visual content.
Open weights provide flexibility for fine-tuning across different hardware environments. The multimodal design supports integrated understanding of textual and visual information. This setup aids complex tasks that require reasoning over extended mixed-media inputs.
Common uses include image captioning with contextual detail and document analysis involving charts or diagrams. It fits well in education tools, content generation pipelines, and accessibility applications. Developers integrate it into systems needing efficient text-image reasoning.
Capabilities
How Ministral 3 3B 2512 compares
Ministral 3 3B 2512 (striped bar) vs other multimodal on intelligence, speed and price.
Price
USD per 1M output tokens · Lower is better · Ministral 3 3B 2512 ranks #1 of 122
Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Long Document Analysis with Visuals
The 131072-token context allows processing extensive reports or papers that include embedded images, charts, and diagrams in a single pass.
Extended Multimodal Conversations
Multimodal support combined with large context enables sustained dialogues involving text, images, and evolving visual references without losing history.
Technical Review of Code and Diagrams
Excels at reviewing lengthy code repositories paired with architectural images or flowcharts while maintaining full context across the session.
Strengths & limitations
Strengths
- +Very large context window
- +Native text and image support
- +Compact size for efficient deployment
Limitations
- –3B scale limits depth on complex reasoning
- –May require strong prompting for nuanced outputs
Cost calculator
Estimate what Ministral 3 3B 2512 would cost for your usage.
Based on Ministral 3 3B 2512's $0.10/1M input · $0.10/1M 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-3b-2512",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: mistralai/ministral-3b-2512
Editor's verdict
Ministral 3 3B 2512 is Mistral's open-weight multimodal with a 131K-token context window.
At $0.10 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 large context window and native text and image support.
Frequently asked questions
The model supports a context length of 131072 tokens.
User reviews
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