Gemma 4 E2B

Google DeepMind🇺🇸 United States
active
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Version History

4.0major

Gemma 4 introduces on-device agentic capabilities with agent skills for autonomous tool use. Performance improved 4x versus previous generation with 60% battery reduction on Android.

Benchmark Scores

Full leaderboard →
37.5%
AIME 2025
43.4%
GPQA
44.0%
LiveCodeBench
52.4%
MATH
60.0%
MMLU-Pro
67.4%
MMMU

Coverage

model release

Google releases Gemma 4, open-source on-device AI with agentic tool use for phones

Google released Gemma 4, an open-source multimodal model that runs entirely on smartphones without sending data to the cloud. The E2B and E4B variants require just 6GB and 8GB of RAM respectively and can autonomously use tools like Wikipedia, maps, and QR code generators through built-in agent skills. The model is available free via the Google AI Edge Gallery app for Android and iOS.

3 min read
model releaseGoogle DeepMind

Google DeepMind releases Gemma 4 family: multimodal models from 2.3B to 31B parameters with 256K context

Google DeepMind released the Gemma 4 family of open-weights multimodal models in four sizes: E2B (2.3B effective parameters), E4B (4.5B effective), 26B A4B (3.8B active parameters), and 31B dense. All models support text and image input with 128K-256K context windows; E2B and E4B add native audio capabilities. Models feature reasoning modes, function calling, and multilingual support across 140+ languages.

3 min read