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Ministral 3 3B

Ministral 3 3B is a verified AI model profile covering official specifications, pricing or access, capabilities, practical use cases, strengths and limitations.

Multimodal Open-Weight ModelTextImage Freemium
In plain English

What is this model and why does it matter?

Ministral 3 3B is the smallest Ministral 3 model, combining text and vision capabilities with a 256K context window for efficient edge and local AI.

Edge AIOn-device assistantsVisual Q&ADocument parsingLow-cost automation
Model overview

Ministral 3 3B: features, use cases and important details

Ministral 3 3B is an AI model verified from first-party Mistral AI sources.

Ministral 3 3B verified specifications

Ministral 3 3B is the smallest Ministral 3 model, combining text and vision capabilities with a 256K context window for efficient edge and local AI. Its verified context or usage limit is 256000 tokens.

Ministral 3 3B pricing and access

Ministral 3 3B costs $0.10 per 1M input tokens and $0.10 per 1M output tokens. Apache-2.0 weights support local deployment.

Ministral 3 3B best uses

Edge AI, On-device assistants, Visual Q&A, Document parsing, Low-cost automation.

Ministral 3 3B limitations

Small size can reduce accuracy on difficult tasks, Large contexts still use memory, Vision details can be missed.

Get started

How to use this model

  1. Call ministral-3b-2512 or download the official weights.
  2. Provide text or image input.
  3. Use functions or structured output.
  4. Test the model on your target device.
  5. Validate extraction and vision quality.
Copy and try

Example prompts

  • Extract these fields from the image.
  • Answer this question from the document.
  • Run this simple assistant on edge hardware.
Capabilities

What it can do

  • 3B parameters
  • 256K context
  • Text and vision
  • Function calling
  • Structured outputs
  • Apache 2.0
Best for

Practical use cases

  • Edge assistants
  • Private AI
  • Document parsing
  • Visual Q&A
  • Low-cost inference
Pricing

What does it cost?

Ministral 3 3B costs $0.10 per 1M input tokens and $0.10 per 1M output tokens. Apache-2.0 weights support local deployment.

Input$0.10 / 1M tokens
Output$0.10 / 1M tokens
Simple summaryAPI input and output both cost $0.10/M tokens; its compact size also targets lower-cost local deployment.

What stands out

  • Very low price
  • Small open model
  • Multimodal
  • 256K context

Things to consider

  • Lower capability ceiling than larger models
  • Hardware performance varies
Limitations

Important restrictions and trade-offs

  • Small size can reduce accuracy on difficult tasks
  • Large contexts still use memory
  • Vision details can be missed
SimplifyAITools verdict

Our editorial take

A practical SEO target for users comparing small multimodal models for edge, local and budget-sensitive deployment.

References

Primary sources

  1. Open source 1 ↗
  2. Open source 2 ↗
  3. Open source 3 ↗
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