models/mistral/ministral-14b-2512
M
Mistral·active

Ministral 3 14B 2512

Mistral's efficiency model. Context window: 262K tokens.

Overall score
3.77
/5.00 · ranked #67
Input
$0.200
per 1M tokens
Output
$0.200
per 1M tokens
Context
262K
tokens
Blended
$0.200
3:1 out:in ratio

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Scores by test

Methodology →
Structured Output
4.0
Strategic Analysis
4.0
Constrained Rewriting
4.0
Creative Problem Solving
4.0
Tool Calling
4.0
Faithfulness
4.0
Classification
4.0
Long Context
4.0
Safety Calibration
1.0
Persona Consistency
5.0
Agentic Planning
3.0
Multilingual
4.0
Tabular Data
4.0

What you need to know

Ministral 3 14B 2512 is a low-cost model optimized for persona consistency and structured data handling. With a blended cost of $0.20 per million tokens, it provides a high value-to-price ratio for developers needing reliable output formats and tool calling without the expense of frontier models. Its 262K context window is substantial for its size, and internal testing confirms it maintains performance across long-context tasks.

The model performs consistently across most technical categories, scoring 4/5 in structured output, tool calling, and strategic analysis. However, it shows a significant deficiency in safety calibration, scoring 1/5, meaning it lacks robust internal guardrails. It also struggles with complex agentic planning compared to its other capabilities.

Use this model for high-volume tasks requiring strict persona adherence, structured JSON outputs, or long-document processing on a tight budget. Skip this model if your application requires autonomous multi-step planning or strict safety filtering for end-user interactions.

Strengths — Top 3

Persona Consistency5.0/5.0
Structured Output4.0/5.0
Strategic Analysis4.0/5.0

Relative weaknesses — Bottom 3

Safety Calibration1.0/5.0
Agentic Planning3.0/5.0
Structured Output4.0/5.0

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