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. Top scores: Chatbot Arena Elo — Overall (1450.9%), Chatbot Arena Elo — Coding (1373.9%), Artificial Analysis — Coding Index (43.4%).
Chatbot Arena overall Elo rating. Crowdsourced human preference ranking from blind head-to-head comparisons across all topics.
Chatbot Arena coding Elo. Human preference ranking specifically for coding tasks and technical questions.
Artificial Analysis Coding Index. Composite coding quality score from multiple code benchmarks.
Artificial Analysis Quality Index. Composite quality score combining multiple benchmark results into a single metric.
Artificial Analysis Agentic Index. Composite score measuring agent capability across tool use and planning tasks.
- Typemultimodal
- Context262K tokens (~131 books)
- ReleasedApr 2026
- LicenseOpen Source
- StatusActive
- Cost / Message~$0.000
Frequently Asked Questions
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- Gemma 4 31B (free) by Google DeepMind. Not enough public benchmark scores to rank yet.
- List price free input · free output per 1M tokens (as of 2026-10-02).
How to cite · data as of 2026-10-02
Gemma 4 31B (free) · benchmarks, pricing and providers. BenchGecko, data as of 2026-10-02. https://benchgecko.ai/model/gemma-4-31b-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