Google
Released March 12, 2025Cutoff August 2024

Gemma 3 12B

Gemma 3 12B by Google DeepMind is an open-weights multimodal model with a 128K-token context window, 140+ language support, and open availability.

Inputs
Text
Image
Outputs
Text

Model Overview

Capabilities, design details, and architectural traits

Gemma 3 12B - Open-Weights Multimodal Model

Gemma 3 12B is a lightweight, open-weights model from Google DeepMind, built from the same research used to create Gemini. It handles both text and image input via a SigLIP vision encoder, producing text output across a range of tasks including question answering, summarization, and reasoning. Its defining design principle is high capability within tight resource constraints.

What Sets Gemma 3 12B Apart from Other Open Models

TraitDetail
128K-token context windowAvailable at the 4B, 12B, and 27B sizes; the 1B is limited to 32K
Open weights with two variantsReleased as both a pre-trained base and an instruction-tuned (-it) version
Multilingual scopeTrained with support for over 140 languages
SigLIP vision encoderImages normalized to 896x896 resolution, encoded to 256 tokens per image
Distillation-based trainingTrained using knowledge distillation, yielding the novel post-training recipe documented in the Gemma 3 Technical Report

Gemini-Lineage in an Open, Deployable Form

Gemma 3 12B sits in a five-size family (1B, 4B, 12B, 27B). The 12B variant specifically maintains the full 128K context window shared with the larger 27B. The post-training recipe documented in the technical report targets improvements in math, chat, instruction-following, and multilingual tasks over Gemma 2.

Benchmark Performance

Independent evaluations · Artificial Analysis

3.8%
Intelligence
5.8%
Coding Index
0.1%
Agentic Index

Accuracy & Capability Details

GPQA - Graduate Science34.9%
Humanity's Last Exam4.2%
SciCode - Scientific Coding16.4%
Instruction Following36.7%
Long Context Reasoning8.3%
τ²-Bench - Agentic Tasks10.8%
TerminalBench - System Control0.8%

Compare Models Side-by-Side

Evaluate specifications, pricing, and independent benchmark indices

Model Details
General Info
ProviderGoogleAnthropicAnthropic
Release DateMarch 12, 2025September 22, 2026September 28, 2026
Knowledge CutoffAug 2024-Jun 2026
Context & Limits
Context Window131K
1M
Best Context Window
1M
Best Context Window
Pricing (per 1M tokens)
Input Pricing
Free
Best Input Pricing
$4$2
Output Pricing
Free
Best Output Pricing
$20$10
Modalities
Inputs
textimage
textimagefile
textimagefile
Outputs
text
text
text
Benchmarks (0-100)
Intelligence Index3.8
57.6
Best Intelligence Index
56.0
Coding Index5.8--
Agentic Index0.1--
Gemma 3 12B
Claude Opus 5.5
Claude Sonnet 5.5

Humanity's Last Exam

Extremely difficult logical reasoning and knowledge.

4%
Gemma 3 12B
Humanity's Last Exam
Score: 4%
Gemma 3 12B
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.

8%
Gemma 3 12B
Long Context Reasoning
Score: 8%
Gemma 3 12B
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.

16%
Gemma 3 12B
SciCode Benchmark
Score: 16%
Gemma 3 12B
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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