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Gemma 3 27B (free)

by Google DeepMind · Released Mar 2025

Open SourceMultimodal
35.1
avg score
Rank #226
Compare
Better than 28% of all models
Context
131K tokens (~66 books)
Input $/1M
Free
Output $/1M
Free
Type
multimodal
License
Open Source
Benchmarks
7 tested
Data as of
About

Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities,...

Tested on 7 benchmarks · BenchGecko score 35.1. Top scores: Lech Mazur Writing (79.9%), MATH level 5 (74.0%), GeoBench (52.0%).

Capabilities
coding
4.9
#197 globally
math
46.8
#127 globally
knowledge
49.3
#132 globally
Benchmark Scores
Compare All
Tested on 7 benchmarks · Ranked across 3 categories
Score Distribution (all 312 models)
0255075100
▲ You are here
Aider polyglot

Multi-language code editing from Aider. Tests editing ability across Python, JavaScript, TypeScript, Java, C++, Go, Rust, and more.

4.9·
MATH level 5

Competition-level math from AMC, AIME, and olympiad problems. Level 5 is the hardest tier, requiring creative problem-solving.

74.0·
OTIS Mock AIME 2024-2025

Mock AIME (American Invitational Mathematics Exam) problems from OTIS. Tests mathematical competition performance.

19.6·
Lech Mazur Writing

Writing quality evaluation by Lech Mazur. Tests prose quality, coherence, and stylistic ability.

79.9·
GeoBench

Geography benchmark testing knowledge of world geography, landmarks, borders, and geopolitical facts.

52.0·
Fiction.LiveBench

LiveBench fiction analysis. Tests literary comprehension and creative text understanding.

33.3·
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
Links
Documentation
BenchGecko API
gemma-3-27b-it-free
Specifications
  • Typemultimodal
  • Context131K tokens (~66 books)
  • ReleasedMar 2025
  • LicenseOpen Source
  • StatusActive
  • Cost / Message~$0.000
Available On
Google DeepMind logoGoogle DeepMindFree
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Gemma 3 27B (free) is an open-source multimodal AI model by Google DeepMind, released in March 2025. It has an average benchmark score of 35.1. Context window: 131K tokens.

Key facts · as of 2026-05-03

  • Gemma 3 27B (free) by Google DeepMind. BenchGecko score 35.1, rank 226 of 312 scored models (normalized average of public benchmark scores).
  • List price free input · free output per 1M tokens (as of 2026-05-03).

How to cite · data as of 2026-05-03

Gemma 3 27B (free) · benchmarks, pricing and providers. BenchGecko, data as of 2026-05-03. https://benchgecko.ai/model/gemma-3-27b-it-free

Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP