Mistral
Released December 2, 2025

Ministral 3 14B

Ministral 3 14B is Mistral AI's largest Ministral 3 model, offering base, instruct, and reasoning variants with vision support under Apache 2.0.

Inputs
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Outputs
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Model Overview

Capabilities, design details, and architectural traits

Ministral 3 14B - The Largest Model in the Ministral 3 Edge Family

Ministral 3 14B is the largest model in Mistral AI's Ministral 3 family, trained alongside the larger Mistral Large 3 as part of the same model generation. It is released as base, instruct, and reasoning variants, each with built-in image understanding, all under the Apache 2.0 license.

TraitDescription
Three-variant releaseEvery Ministral 3 size, including the 14B, ships as base, instruct, and reasoning models, each with native vision support, openly licensed rather than closed
Token-efficient instruct variantThe instruct version is documented to match or exceed comparable models while often producing an order of magnitude fewer output tokens
Reasoning variantA dedicated reasoning-trained version that thinks longer to raise accuracy on math, coding, and STEM-style tasks
Edge-first positioningDesigned primarily for local and on-device deployment rather than cloud-scale serving, while matching the performance of Mistral's larger Small 3.2 24B model
Generation siblingReleased together with Mistral Large 3, Mistral's mixture-of-experts flagship, as one coordinated model family

Native Multimodal and Multilingual Design

Vision input and support for dozens of languages are built directly into the base architecture of every Ministral 3 14B variant, rather than added as a separate module or follow-up release. This lets the same checkpoint handle text, images, and cross-lingual tasks without switching models, which is the intended fit for enterprise and developer workflows that need one model for multiple input types at the edge.

Benchmark Performance

Independent evaluations · Artificial Analysis

6.0%
Intelligence
14.4%
Coding Index
1.1%
Agentic Index

Accuracy & Capability Details

GPQA - Graduate Science57.2%
Humanity's Last Exam4.6%
SciCode - Scientific Coding23.8%
Instruction Following32.0%
Long Context Reasoning26.3%
τ²-Bench - Agentic Tasks27.2%
TerminalBench - System Control4.5%

Compare Models Side-by-Side

Evaluate specifications, pricing, and independent benchmark indices

Model Details
General Info
ProviderMistralAnthropicAnthropic
Release DateDecember 2, 2025September 22, 2026September 28, 2026
Knowledge Cutoff--Jun 2026
Context & Limits
Context Window262K
1M
Best Context Window
1M
Best Context Window
Pricing (per 1M tokens)
Input Pricing
$0.20
Best Input Pricing
$4$2
Output Pricing
$0.20
Best Output Pricing
$20$10
Modalities
Inputs
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Outputs
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Benchmarks (0-100)
Intelligence Index6.0
57.6
Best Intelligence Index
56.0
Coding Index14.4--
Agentic Index1.1--
Ministral 3 14B
Claude Opus 5.5
Claude Sonnet 5.5

Humanity's Last Exam

Extremely difficult logical reasoning and knowledge.

5%
Ministral 3 14B
Humanity's Last Exam
Score: 5%
Ministral 3 14B
61%
Claude Opus 5.5
Humanity's Last Exam
Score: 61%
Claude Opus 5.5
55%
Claude Sonnet 5.5
Humanity's Last Exam
Score: 55%
Claude Sonnet 5.5

Long Context Reasoning

Logical reasoning over long context windows.

26%
Ministral 3 14B
Long Context Reasoning
Score: 26%
Ministral 3 14B
85%
Claude Opus 5.5
Long Context Reasoning
Score: 85%
Claude Opus 5.5
83%
Claude Sonnet 5.5
Long Context Reasoning
Score: 83%
Claude Sonnet 5.5

SciCode Benchmark

Scientific coding and mathematical modeling.

24%
Ministral 3 14B
SciCode Benchmark
Score: 24%
Ministral 3 14B
67%
Claude Opus 5.5
SciCode Benchmark
Score: 67%
Claude Opus 5.5
61%
Claude Sonnet 5.5
SciCode Benchmark
Score: 61%
Claude Sonnet 5.5

Independent evaluation data provided by Artificial Analysis. To view the latest benchmarks and full details, visit their official site.

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