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  4. Ministral 3 3B
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.

Visit MistralAnnouncement
Inputs
Text
Image
Outputs
Text

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

7.1%
Intelligence
4.8%
Coding Index
1.6%
Agentic Index

Accuracy & Capability Details

GPQA - Graduate Science35.8%
Humanity's Last Exam5.4%
SciCode - Scientific Coding14.4%
Instruction Following26.8%
Long Context Reasoning16.0%
τ²-Bench - Agentic Tasks24.9%
TerminalBench - System Control0.0%
Specs
Context window
131Ktokens
Input pricing
$0.10per 1M tokens
Output pricing
$0.10per 1M tokens

Prices in USD.

Key Capabilities & Ratings

Financial Analysis70%
Translation & Lang70%
Medical Reasoning70%
Advanced Math60%
Legal & E-Discovery60%

Compare Models Side-by-Side

Evaluate specifications, pricing, and independent benchmark indices

Model Details
General Info
ProviderMistralAnthropicAnthropic
Release DateDecember 2, 2025July 24, 2026June 9, 2026
Knowledge Cutoff-May 2026-
Context & Limits
Context Window131K
1M
Best Context Window
1M
Best Context Window
Pricing (per 1M tokens)
Input Pricing
$0.10
Best Input Pricing
$5$10
Output Pricing
$0.10
Best Output Pricing
$25$50
Modalities
Inputs
textimage
textimage
textimagefile
Outputs
text
text
text
Benchmarks (0-100)
Intelligence Index7.1
63.1
Best Intelligence Index
62.1
Coding Index4.8
78.0
Best Coding Index
76.5
Agentic Index1.6
59.2
Best Agentic Index
56.6
Ministral 3 3B
Claude Opus 5
Claude Fable 5

GPQA Benchmark

Graduate-level reasoning and expert Q&A evaluation.

36%
Ministral 3 3B
GPQA Benchmark
Score: 36%
Ministral 3 3B
93%
Claude Opus 5
GPQA Benchmark
Score: 93%
Claude Opus 5
93%
Claude Fable 5
GPQA Benchmark
Score: 93%
Claude Fable 5

Humanity's Last Exam

Extremely difficult logical reasoning and knowledge.

5%
Ministral 3 3B
Humanity's Last Exam
Score: 5%
Ministral 3 3B
55%
Claude Opus 5
Humanity's Last Exam
Score: 55%
Claude Opus 5
56%
Claude Fable 5
Humanity's Last Exam
Score: 56%
Claude Fable 5

Long Context Reasoning

Logical reasoning over long context windows.

16%
Ministral 3 3B
Long Context Reasoning
Score: 16%
Ministral 3 3B
76%
Claude Opus 5
Long Context Reasoning
Score: 76%
Claude Opus 5
77%
Claude Fable 5
Long Context Reasoning
Score: 77%
Claude Fable 5

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

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