Gemma 4 E2B

Open Weights

Parameters

256K

Context

About Gemma 4 E2B

Gemma 4 E2B is an AI model developed by Google DeepMind, released in 2026, made available as an open-weights model with 2B params. Gemma 4 E2B is the smallest variant of Google's open-weight Gemma 4 family, built for edge deployment on phones, Raspber.

On this page you'll find Gemma 4 E2B's full specifications, including a context window of 256K tokens. Review provider pricing and benchmark scores below, or compare Gemma 4 E2B head-to-head with other AI models.

→ More models by Google DeepMind → AI benchmarks leaderboard

Links

Announcement ↗ Paper ↗ Hugging Face ↗

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Frequently asked questions

What is Gemma 4 E2B? ▶

Gemma 4 E2B is the smallest variant of Google's open-weight Gemma 4 family, built for edge deployment on phones, Raspber It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created Gemma 4 E2B? ▶

Gemma 4 E2B was developed by Google DeepMind and released in 2026.

Is Gemma 4 E2B open source or proprietary? ▶

Gemma 4 E2B 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 E2B's context window? ▶

Gemma 4 E2B supports a context window of 256K tokens, and has 2B params.

How much does Gemma 4 E2B cost? ▶

Pricing for Gemma 4 E2B depends on the provider. See the providers table on this page for the latest API rates.

How does Gemma 4 E2B perform on benchmarks? ▶

Benchmark scores for Gemma 4 E2B are listed on this page as they are published. You can compare it head-to-head with other models on the GenAIList compare tool.