What is Gemma 4 and how does it differ from Gemma 3?

Gemma 4's a family of open multimodal models (31B dense, 26B MoE, E4B/E2B edge) under Apache 2.0—leaps Gemma 3 in benches, adds native video/audio, long context, agent tools.

Can I run Gemma 4 on my laptop or phone?

Yep—llama.cpp/Ollama day-zero support. 300 t/s video on M2 Ultra; E2B/E4B for mobile/IoT. WebGPU even browsers it.

Does Gemma 4 beat closed models like GPT-4o?

Ties top opens (31B vs. 744B/1T), #27 overall Arena. GPQA 85.7% crushes many, but closed giants edge reasoning—efficiency king here.

🤖 Large Language Models

Gemma 4: Google's Surprise Weapon in the Open AI Arms Race

Everyone figured open models were stalling amid drama at Allen Institute and GPT-OSS limbo. Then Gemma 4 drops, tying behemoths with a fraction of the params—and natively chewing video on your phone.

theAIcatchup Apr 07, 2026 4 min read

Gemma 4 benchmark chart tying top open models with 31B parameters

⚡ Key Takeaways

Gemma 4 ties massive models with tiny params via clever MoE/arch tweaks. 𝕏
Apache 2.0 + day-zero ecosystem = instant developer adoption. 𝕏
Edge multimodal (video/audio) hints at Apple Siri integration. 𝕏

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#Gemma 4 #Google DeepMind #edge AI #multimodal AI #open models #open multimodal models

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Originally reported by Latent Space

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