Home/Models/Gemma 2 27B
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Gemma 2 27B

by Google DeepMind · Released Jul 2024

Open Source
51.7
avg score
Rank #100
Compare
Better than 57% of all models
Context
8K tokens (~4 books)
Input $/1M
$0.65
Output $/1M
$0.65
Type
text
License
Open Source
Benchmarks
11 tested
Data updated today
About

Gemma 2 27B by Google is an open model built from the same research and technology used to create the [Gemini models](/models?q=gemini). Gemma models are well-suited for a variety of...

Tested on 11 benchmarks with 32.9% average. Top scores: Chatbot Arena Elo — Overall (1287.6%), IFEval (79.8%), MMLU (67.6%).

Looking for similar performance at lower cost?
Qwen3 32B scores 51.7 (100% as good) at $0.08/1M input · 88% cheaper
Capabilities
reasoning
9.1
#143 globally
math
17.7
#172 globally
knowledge
34.5
#164 globally
language
79.8
#51 globally
general
49.3
#10 globally
Benchmark Scores
Compare All
Tested on 11 benchmarks · Ranked across 6 categories
Score Distribution (all 233 models)
0255075100
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MUSR

HuggingFace MuSR (Multi-Step Reasoning). Tests multi-hop reasoning requiring chaining multiple facts together.

9.1
MATH level 5

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

27.9
MATH Level 5

HuggingFace evaluation of MATH Level 5 problems. Competition math requiring advanced reasoning and proof construction.

23.9
OTIS Mock AIME 2024-2025

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

1.3
MMLU

Massive Multitask Language Understanding. 57 subjects from STEM, humanities, and social sciences. The most widely-cited knowledge benchmark.

67.6
MMLU-PRO

HuggingFace MMLU-Pro. Harder version of MMLU with 10 answer choices instead of 4 and more challenging questions.

38.4
GPQA

HuggingFace evaluation of GPQA (Graduate-Level Google-Proof Q&A). PhD-level science questions that cannot be easily searched.

16.7
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
Links
Documentation
BenchGecko API
gemma-2-27b-it
Specifications
  • Typetext
  • Context8K tokens (~4 books)
  • ReleasedJul 2024
  • LicenseOpen Source
  • StatusActive
  • Cost / Message~$0.002
Available On
Google DeepMind logoGoogle DeepMind$0.65
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Gemma 2 27B is an open-source text AI model by Google DeepMind, released in July 2024. It has an average benchmark score of 51.7. Context window: 8K tokens.