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  4. Gemma 3 27B
Google
Released March 12, 2025Cutoff August 2024

Gemma 3 27B

Google Gemma 3 27B: largest Gemma 3 open model, most capable on a single GPU or TPU, 14T training tokens, SigLIP vision, 128K context, 140+ languages.

Visit GoogleAnnouncement
Inputs
Text
Image
Outputs
Text

Model Overview

Capabilities, design details, and architectural traits

Gemma 3 27B - Most Capable Open Model That Fits on a Single GPU or TPU

Gemma 3 27B is the largest model in Google's Gemma 3 family and is officially described as the most capable model that fits on a single GPU or TPU host. It is a multimodal open-weights model, accepting text and image input and generating text output. It was trained on 14 trillion tokens - the largest training budget in the Gemma 3 family - and supports a 128K context window with multilingual coverage across over 140 languages.

TraitDetail
Single GPU/TPU fitDocumented as the most capable open model deployable on a single consumer GPU or TPU
Training tokens14 trillion - largest in the Gemma 3 family (vs 12T for 12B, 4T for 4B)
SigLIP vision encoderShared frozen SigLIP encoder (same across 4B, 12B, and 27B); processes images as 256 compact soft tokens via MultiModalProjector
Pan and Scan image handlingAdaptively crops non-square or high-resolution images into 896x896 tiles for improved document and text-in-image tasks
Context window128K tokens; achieved by scaling from 32K pre-training via RoPE rescaling with a base frequency of 1M on global attention layers

Gemma 3 27B as the Foundation for MedGemma 27B

The Gemma 3 27B multimodal architecture serves as the base model for MedGemma 27B, Google's open medical AI model designed for health AI development. This makes the 27B size the specific Gemma 3 variant chosen for specialized downstream medical fine-tuning in Google's own research ecosystem.

Benchmark Performance

Independent evaluations · Artificial Analysis

7.4%
Intelligence
10.1%
Coding Index
0.3%
Agentic Index

Accuracy & Capability Details

GPQA - Graduate Science42.8%
Humanity's Last Exam4.4%
SciCode - Scientific Coding21.2%
Instruction Following31.8%
Long Context Reasoning6.3%
τ²-Bench - Agentic Tasks10.5%
TerminalBench - System Control3.8%
Specs
Context window
131Ktokens

Prices in USD.

Key Capabilities & Ratings

Structured Outputs90%
Instruction Following90%
Advanced Math80%
Legal & E-Discovery70%
Visual Reasoning70%

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 Index7.4
63.1
Best Intelligence Index
62.1
Coding Index10.1
78.0
Best Coding Index
76.5
Agentic Index0.3
59.2
Best Agentic Index
56.6
Gemma 3 27B
Claude Opus 5
Claude Fable 5

GPQA Benchmark

Graduate-level reasoning and expert Q&A evaluation.

43%
Gemma 3 27B
GPQA Benchmark
Score: 43%
Gemma 3 27B
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 27B
Humanity's Last Exam
Score: 4%
Gemma 3 27B
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.

6%
Gemma 3 27B
Long Context Reasoning
Score: 6%
Gemma 3 27B
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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