RT @PawelHuryn: Beats Sonnet 4.6 on graduate-level reasoning. 4B active parameters. Runs on a 24GB Mac Mini. Gemma 4's 26B model scores 82.3% on GPQA Diamond — vs Sonnet 4.6's 74%. It's a mixture-of-experts that activates only 4B parameters per inference. Apache 2.0. The 31B variant goes further: 84.3% on the same benchmark. An open source model outperforming the current frontier on graduate-level reasoning. Sonnet 4.6 still wins on agentic coding (SWE-bench 79.6%). But frontier-level reasoning now runs locally, on your hardware, for free. Google AI (@GoogleAI) Today, we’re launching Gemma 4, our most intelligent open models to date. Built with the same breakthrough technology as Gemini 3, Gemma 4 brings advanced reasoning to your personal hardware and devices. Here’s what Gemma 4 unlocks for developers: — Intelligence-per-parameter: Our 31B (Dense) and 26B (MoE) models deliver state-of-the-art performance for their size, outcompeting models 20x their size on @arena — Commercial flexibility: Released under a permissive Apache 2.0 license for complete developer flexibility and digital sovereignty — Agentic workflows: Native support for function-calling and structured JSON output allows you to build reliable, autonomous agents — Multimodal edge AI: The E2B and E4B models bring native vision, audio, and low latency to mobile and IoT devices — Long-context reasoning: Up to 256K context windows allow you to process entire repositories or large documents in a single prompt Whether you're building global applications in 140+ languages or local-first AI code assistants, Gemma 4 is built to be your foundation. Explore in @GoogleAIStudio or download the weights on @HuggingFace, @Kaggle, and @Ollama. Video — https://nitter.net/GoogleAI/status/2039735543068504476#m
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https://x.com/PawelHuryn/status/2039781705884590326#m
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