What is Google Gemma 4?

Family of open models: edge (E2B/E4B for phones/Pi), 26B MoE, 31B dense flagship. Apache 2.0, multimodal on edges, crushes benchmarks.

How does Gemma 4 compare to Gemma 3?

Massive leaps — agents/math/coding from single digits to 80-90%. Native tools, longer context, edge efficiency.

Can Gemma 4 run on consumer hardware?

Yes: edges on phones/Pi, quantized 26B/31B on RTX/GTX cards, unquant 31B on H100.

🚀 New Releases

Gemma 4 Tears Through Benchmarks – Google's Open AI Power Grab

Google's Gemma 4 just landed, benchmarking like a beast while fitting on your phone. But after 20 years watching Valley hype cycles, I'm asking: does this actually shift the money?

DevTools Feed Apr 03, 2026 3 min read 11 views

Google Gemma 4 model family running on smartphone, Raspberry Pi, and GPU server

⚡ Key Takeaways

Gemma 4 benchmarks explode vs. Gemma 3, beating much larger closed models on agents/math. 𝕏
Edge models (E2B/E4B) enable true offline multimodal AI on phones/RPi. 𝕏
Apache 2.0 + broad support = dev-friendly, but Google's ecosystem play looms large. 𝕏

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#Google Gemma 4 #LLM benchmarks #MoE architecture #edge AI #edge AI models #open AI models #open source AI

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