Google Ships Gemma 4 Under Apache 2.0. Four Models, Arena #3, and the License That Changes Everything.

The models are good. The license is the real story.

Google released Gemma 4 on April 2 with four variants: E2B, E4B, 26B MoE, and 31B Dense. All built on the Gemini 3 architecture. The 31B Dense variant claimed #3 on Arena AI's text leaderboard, beating models 20x its size. The 26B MoE sits at #6. Multimodal input (video and images), 128K to 256K context windows, 140+ languages. Available today on HuggingFace, Ollama, Kaggle, and Google AI Studio.

Those are strong numbers. But I've seen strong numbers before from Gemma. What I haven't seen is Apache 2.0.

Previous Gemma licenses were restrictive enough to block enterprise adoption. You couldn't use them for competitive model training. Commercial deployments had legal gray areas. That's gone. Apache 2.0 means you can fine-tune, distill, embed, and ship Gemma 4 in your product with the same freedom you'd have with Llama or Mistral. For the local LLM community, this is the moment Google stops being the walled-garden option and starts competing directly with Meta's open model strategy.

I've been watching r/LocalLLaMA for the initial benchmarks, and the early reports are strong on coding and reasoning tasks specifically. The E2B and E4B variants cover edge deployment, while the 26B MoE and 31B Dense cover server-side inference. Four points on the size-capability curve from one release, all Apache 2.0, all with multimodal input. That's a complete lineup, not a single model launch.

The timing matters too. Vitalik Buterin published a self-sovereign local LLM guide the same day, testing Qwen3.5:35B locally and declaring 2026 "the year to reclaim computing self-sovereignty." Two independent signals converging on local-first AI on the same date. Gemma 4 at Apache 2.0 is the kind of model that makes that vision practical.

If you're evaluating open models for any production workload, benchmark Gemma 4 against Qwen and Llama today. The Apache 2.0 licensing alone might make it your default choice.