Google DeepMind
Google DeepMind
AI model · United States ·Apr 2026

Gemma 4 31B

Open Weights
31B
Parameters
256K
Context
5
Benchmarks

About Gemma 4 31B

Gemma 4 31B is an AI model developed by Google DeepMind, released in 2026, made available as an open-weights model with 31B params. Gemma 4 31B is the largest member of the Gemma 4 family, a 31B dense model that ranks #3 on the Arena AI text leaderboar.

On this page you'll find Gemma 4 31B's full specifications, including a context window of 256K tokens, 5 benchmark results. Review provider pricing and benchmark scores below, or compare Gemma 4 31B head-to-head with other AI models.

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Gemma 4 31B benchmark scores
Benchmark Category Score Variant
HumanEval code 82.4% pass@1
MMLU-Pro general 72.5%
MATH math 73.8%
MMMU multimodal 67.2%
GPQA Diamond reasoning 58.3%

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Frequently asked questions

What is Gemma 4 31B?

Gemma 4 31B is the largest member of the Gemma 4 family, a 31B dense model that ranks #3 on the Arena AI text leaderboar It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created Gemma 4 31B?

Gemma 4 31B was developed by Google DeepMind and released in 2026.

Is Gemma 4 31B open source or proprietary?

Gemma 4 31B ships as an open-weights model: you can download and self-host the weights, though the licence may place some restrictions on use.

What is Gemma 4 31B's context window?

Gemma 4 31B supports a context window of 256K tokens, and has 31B params.

How much does Gemma 4 31B cost?

Pricing for Gemma 4 31B depends on the provider. See the providers table on this page for the latest API rates.

How does Gemma 4 31B perform on benchmarks?

Gemma 4 31B is benchmarked across 5 evaluations on GenAIList, including HumanEval (82.4%). See the full benchmark table below and compare it with other models.

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