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Very High Reasoning

Ministral 3 14B

Ministral 3 14B is a powerful 14-billion parameter edge model that delivers state-of-the-art intelligence comparable to much larger systems, optimized for local deployment with multimodal capabilities and exceptional speed. Combining advanced architecture with efficient performance, it achieves an industry-leading cost-to-performance ratio while supporting 256,000 tokens of context for complex workflows and agentic tasks.

256k Context
Very High Intelligence
Jun '25 Knowledge

Available for Chat, Vision, and File Uploads.

Performance Benchmarks

Artificial Analysis Intelligence Index
16
MMLU-Pro
N/A
HumanEval
N/A

How do you want to interact?

Start a Conversation

Ask anything.
Have a natural conversation, brainstorm ideas, draft emails, or ask for advice.

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Use a Persona

Specialized Experts.
Instruct the AI to act as a Coding Tutor, Marketing Expert, or Travel Guide.

Pick a Persona

Why use Ministral 3 14B?

Function Calling

Native support for function calling and structured JSON outputs

Extended Context

256,000 token context window for processing massive documents and complex workflows

Multimodal Processing

Vision capabilities with image understanding and multilingual support across 40+ languages

Capability Examples

Multimodal Document Analysis
Analyze this image of a flowchart and explain the key steps in the process.
The flowchart depicts a 5-step workflow: 1) Data Input via API, 2) Processing with error checks, 3) Validation against rules, 4) Output generation in JSON, 5) Logging and archival. Potential bottlenecks at step 3 due to branching logic.
Agentic Function Calling
Using function calling, fetch the current weather for Paris and summarize it in French.
<function_call name="get_weather"><param name="city">Paris</param></function_call> Résultat: À Paris, il fait actuellement 18°C, ciel partiellement nuageux avec 20% de précipitations prévues. Température ressentie: 17°C.
Long-Context Reasoning
Given this 200k-token legal contract excerpt, identify all clauses related to data privacy and suggest amendments for GDPR compliance.
Key clauses: Section 4.2 (data retention, lacks explicit deletion rights), 7.1 (third-party sharing, no DPIA mention). Suggested amendments: Add Art.17 right to erasure; require DPIA under Art.35; limit retention to necessity (Art.5(1)e). Full analysis confirms 12 instances, all needing explicit consent language.

How to use

1
Go to Chat

Navigate to the "AI Chat" page.

2
Select Model

Ensure Ministral 3 14B is selected.

3
Type Prompt

Ask a question or paste code.

4
Interact

Refine the answer by replying to the AI.

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