Ministral 3 14B 2512
VerifiedMistral's open 14B multimodal model for text and image with 262k context.
About Ministral 3 14B 2512
Ministral 3 14B 2512 combines text and image processing in a single open-weight architecture released by Mistral. Its 262144-token context window supports extended multimodal inputs without truncation. The 14 billion parameter design balances performance and accessibility for local or cloud deployment.
Strengths center on native multimodal understanding while remaining fully open for fine-tuning and research. Users can run the model on standard hardware thanks to its modest parameter count. Typical applications include document analysis, visual question answering, and long-form content generation that mixes images with text.
Capabilities
How Ministral 3 14B 2512 compares
Ministral 3 14B 2512 (striped bar) vs other multimodal on intelligence, speed and price.
Price
USD per 1M output tokens · Lower is better · Ministral 3 14B 2512 ranks #3 of 67
Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Analyzing lengthy multilingual research documents
The 262144-token context enables Ministral 3 14B 2512 to perform long-context reasoning across extended texts in multiple languages while maintaining instruction following.
Interpreting complex diagrams in technical reports
Multimodal text-image understanding allows the model to process visual elements alongside detailed textual explanations for tasks such as technical documentation review.
Debugging large-scale codebases with mathematical components
Strong performance in code generation, debugging, and mathematical problem solving makes it effective for handling intricate programming projects that include algorithmic challenges.
Strengths & limitations
Strengths
- +Efficient handling of 256k context windows
- +Solid vision-language integration for a mid-size model
- +Strong instruction adherence and tool-use patterns
- +Good speed-to-quality balance for 14B scale
Limitations
- –Image understanding limited to static inputs
- –May underperform larger models on highly complex reasoning
- –Context utilization can degrade on extremely long documents
Cost calculator
Estimate what Ministral 3 14B 2512 would cost for your usage.
Based on Ministral 3 14B 2512's $0.20/1M input · $0.20/1M 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-14b-2512",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: mistralai/ministral-14b-2512
Editor's verdict
Ministral 3 14B 2512 is Mistral's open-weight multimodal with a 262K-token context window.
At $0.20 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 efficient handling of 256k context windows and solid vision-language integration for a mid-size model.
Frequently asked questions
The model provides a context window of 262144 tokens.
User reviews
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