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Mistral AI New Intermediate

Ministral 3 14B

Ministral 3 14B is a verified current AI model with official specs, pricing or access details, capabilities, best use cases and key limitations.

Multimodal Open-Weight ModelTextImage Freemium
In plain English

What is this model and why does it matter?

Ministral 3 14B is the largest Ministral 3 model, offering text and vision capabilities with a 256K context and an emphasis on efficient local deployment.

Local AIVision and text assistantsDocument Q&AStructured extractionCost-efficient deployments
Model overview

Ministral 3 14B: features, use cases and important details

Ministral 3 14B is a current AI model verified from first-party Mistral AI sources.

Ministral 3 14B verified specifications

Ministral 3 14B is the largest Ministral 3 model, offering text and vision capabilities with a 256K context and an emphasis on efficient local deployment. Its verified context or usage limit is 256000 tokens.

Ministral 3 14B pricing and access

Ministral 3 14B costs $0.20 per 1M input tokens and $0.20 per 1M output tokens; Apache-2.0 weights are also available for local deployment.

Ministral 3 14B best uses

Local AI, Vision and text assistants, Document Q&A, Structured extraction, Cost-efficient deployments.

Ministral 3 14B limitations

Large context still consumes memory, Vision outputs need validation, Self-hosting requires operations work.

Get started

How to use this model

  1. Call ministral-14b-2512 through Mistral or download the open weights.
  2. Provide text or image input.
  3. Use function calling or structured outputs.
  4. Evaluate local hardware needs before self-hosting.
Copy and try

Example prompts

  • Analyze this image and document together.
  • Return this document information as structured JSON.
  • Run this assistant locally for private data.
Capabilities

What it can do

  • 14B-class model
  • 256K context
  • Text and vision
  • Function calling
  • Structured outputs
  • Apache 2.0
Best for

Practical use cases

  • Private assistants
  • Document intelligence
  • Visual Q&A
  • Local inference
  • Structured extraction
Pricing

What does it cost?

Ministral 3 14B costs $0.20 per 1M input tokens and $0.20 per 1M output tokens; Apache-2.0 weights are also available for local deployment.

Input$0.20 / 1M tokens
Output$0.20 / 1M tokens
Simple summaryHosted input and output are both $0.20/M tokens; local costs depend on hardware.

What stands out

  • Apache 2.0
  • Low hosted price
  • Local deployment focus
  • Multimodal

Things to consider

  • Less capable than larger frontier models
  • Local performance depends on hardware
Limitations

Important restrictions and trade-offs

  • Large context still consumes memory
  • Vision outputs need validation
  • Self-hosting requires operations work
SimplifyAITools verdict

Our editorial take

A strong open-model SEO target for users searching for efficient local multimodal alternatives to larger frontier models.

References

Primary sources

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