Mistral
Released December 2, 2025

Ministral 3 3B

Ministral 3 3B is Mistral AI's smallest edge model, using Cascade Distillation, tied embeddings, a frozen vision encoder, and a 256k context window.

Inputs
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Outputs
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Model Overview

Capabilities, design details, and architectural traits

Ministral 3 3B - The Smallest Model in the Ministral 3 Family

Ministral 3 3B is the smallest and most efficient member of the Ministral 3 family. It is designed for edge deployment, combining compact size with native vision understanding rather than offering text-only capability.

TraitDetail
Pretraining methodBuilt using Cascade Distillation, a compute-efficient recipe that distills from a stronger, already post-trained teacher model (Mistral Medium 3.1) instead of training from scratch
ArchitectureUses tied embeddings, sharing the embedding and output layers, a design specific to the 3B size within the family since the 8B and 14B variants use separate layers for each
Vision encoderIncludes a vision encoder adapted from Mistral Small 3.1 Base, kept frozen, paired with a newly trained projection layer for image understanding
VariantsReleased as base, instruct, and reasoning versions
Context windowSupports a 256k context window

Open and Edge-Focused

Ministral 3 3B is released under the Apache 2.0 license as open weights, and is built to run across diverse hardware, including local setups, rather than being restricted to large-scale cloud deployment.

Benchmark Performance

Independent evaluations · Artificial Analysis

4.8%
Intelligence
4.8%
Coding Index
0.8%
Agentic Index

Accuracy & Capability Details

GPQA - Graduate Science35.8%
Humanity's Last Exam5.4%
SciCode - Scientific Coding15.3%
Instruction Following26.8%
Long Context Reasoning17.0%
τ²-Bench - Agentic Tasks24.9%
TerminalBench - System Control0.0%

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 Window256K
1M
Best Context Window
1M
Best Context Window
Pricing (per 1M tokens)
Input Pricing
$0.10
Best Input Pricing
$4$2
Output Pricing
$0.10
Best Output Pricing
$20$10
Modalities
Inputs
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Outputs
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Benchmarks (0-100)
Intelligence Index4.8
57.6
Best Intelligence Index
56.0
Coding Index4.8--
Agentic Index0.8--
Ministral 3 3B
Claude Opus 5.5
Claude Sonnet 5.5

Humanity's Last Exam

Extremely difficult logical reasoning and knowledge.

5%
Ministral 3 3B
Humanity's Last Exam
Score: 5%
Ministral 3 3B
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.

17%
Ministral 3 3B
Long Context Reasoning
Score: 17%
Ministral 3 3B
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.

15%
Ministral 3 3B
SciCode Benchmark
Score: 15%
Ministral 3 3B
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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