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Google DeepMind releases Gemma 4, multimodal open-source model family with Apache 2.0 license

Open source release Provisional 95% confidence first seen 2 April 2026, 00:00

Google DeepMind released Gemma 4, a family of open-source multimodal models available in four sizes, with the largest dense model (31B parameters) ranking third on Arena AI's text leaderboard. The models support images, text, and audio inputs and are designed to run efficiently on consumer hardware from smartphones to laptops under a commercially permissive Apache 2.0 license.

Source coverage

2 Apr, 00:00 Welcome Gemma 4: Frontier multimodal intelligence on device Hugging Face Blog official 2 Apr, 16:00 Gemma 4: Byte for byte, the most capable open models Google DeepMind official

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TLDRocket 3 August 2026

The story of AI in August 2026 is one of consolidation meeting enforcement. Alibaba's Qwen3.8-Max, a 2.4-trillion-parameter mixture-of-experts model with a million-token context window, arrives as a direct challenge to OpenAI and Anthropic's frontier offerings—priced at $2 per million input tokens, it's positioning itself as the capable-and-cheaper alternative that China's AI push has long promised. But the more consequential development is structural: enterprises are finally getting the plumbing to actually deploy these models. June, backed by Salesforce's Marc Benioff, raised $20 million to automate AI integration into legacy systems, scanning corporate infrastructure and generating deployment workflows without expensive consultant fees. This solves what's become clear as the real bottleneck—not model capability, but implementation friction in messy, heterogeneous corporate environments.

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Google DeepMind releases Gemma 4, multimodal open-source model family with Apache 2.0 license

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Every AI story that matters, in your inbox by 8am.

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