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  4. Gemma 3 12B
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 single-GPU deployment.

Visit GoogleAnnouncement
Inputs
Text
Image
Outputs
Text

Model Overview

Capabilities, design details, and architectural traits

Gemma 3 12B - Open-Weights Multimodal Built for Single-GPU Deployment

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 - it targets deployment on laptops, desktops, and single GPUs without enterprise infrastructure.

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
Quantized versions availableReduces memory and compute requirements for constrained hardware

Gemini-Lineage in an Open, Deployable Form

Gemma 3 12B sits in a five-size family (1B, 4B, 12B, 27B) designed to cover a range of hardware targets. The 12B variant specifically maintains the full 128K context window shared with the larger 27B, while remaining within single-accelerator reach. 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

5.5%
Intelligence
5.8%
Coding Index
0.3%
Agentic Index

Accuracy & Capability Details

GPQA - Graduate Science34.9%
Humanity's Last Exam4.2%
SciCode - Scientific Coding17.4%
Instruction Following36.7%
Long Context Reasoning8.0%
τ²-Bench - Agentic Tasks10.8%
TerminalBench - System Control0.8%
Specs
Context window
131Ktokens

Prices in USD.

Key Capabilities & Ratings

Structured Outputs80%
Instruction Following80%
Advanced Math40%
Factuality & Retrieval40%
General Knowledge30%

Compare Models Side-by-Side

Evaluate specifications, pricing, and independent benchmark indices

Model Details
General Info
ProviderGoogleAnthropicAnthropic
Release DateMarch 12, 2025July 24, 2026June 9, 2026
Knowledge CutoffAug 2024May 2026-
Context & Limits
Context Window131K
1M
Best Context Window
1M
Best Context Window
Pricing (per 1M tokens)
Input Pricing
Free
Best Input Pricing
$5$10
Output Pricing
Free
Best Output Pricing
$25$50
Modalities
Inputs
textimage
textimage
textimagefile
Outputs
text
text
text
Benchmarks (0-100)
Intelligence Index5.5
63.1
Best Intelligence Index
62.1
Coding Index5.8
78.0
Best Coding Index
76.5
Agentic Index0.3
59.2
Best Agentic Index
56.6
Gemma 3 12B
Claude Opus 5
Claude Fable 5

GPQA Benchmark

Graduate-level reasoning and expert Q&A evaluation.

35%
Gemma 3 12B
GPQA Benchmark
Score: 35%
Gemma 3 12B
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.

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

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