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Gemma 4 31B (free)

by Google DeepMind · Released Apr 2026

Open SourceMultimodal
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Context
262K tokens (~131 books)
Input $/1M
Free
Output $/1M
Free
Type
multimodal
License
Open Source
Benchmarks
5 tested
Data updated today
About

Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...

Tested on 5 benchmarks with 0.0% average. Top scores: Chatbot Arena Elo — Overall (1450.9%), Chatbot Arena Elo — Coding (1373.9%), Artificial Analysis — Coding Index (43.4%).

Capabilities
speed
48.5
#57 globally
Benchmark Scores
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Tested on 5 benchmarks · Ranked across 2 categories
Score Distribution (all 274 models)
0255075100
Chatbot Arena Elo — Overall

Chatbot Arena overall Elo rating. Crowdsourced human preference ranking from blind head-to-head comparisons across all topics.

1451
Chatbot Arena Elo — Coding

Chatbot Arena coding Elo. Human preference ranking specifically for coding tasks and technical questions.

1374
Artificial Analysis — Coding Index

Artificial Analysis Coding Index. Composite coding quality score from multiple code benchmarks.

43.4
Artificial Analysis — Quality Index

Artificial Analysis Quality Index. Composite quality score combining multiple benchmark results into a single metric.

29.4
Artificial Analysis — Agentic Index

Artificial Analysis Agentic Index. Composite score measuring agent capability across tool use and planning tasks.

14.4
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
Links
Documentation
BenchGecko API
gemma-4-31b-it-free
Specifications
  • Typemultimodal
  • Context262K tokens (~131 books)
  • ReleasedApr 2026
  • LicenseOpen Source
  • StatusActive
  • Cost / Message~$0.000
Available On
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Gemma 4 31B (free) is an open-source multimodal AI model by Google DeepMind, released in April 2026. Context window: 262K tokens.