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Gemma 4 is a family of open models, purpose-built for advanced reasoning and agentic workflows. Gemma 4 features a context window of up to 256K tokens and maintains multilingual support in over 140 languages. Featuring both Dense and Mixture-of-Experts (MoE) architectures, Gemma 4 is well-suited for tasks like text generation, coding, and reasoning. The models are available in four distinct sizes: E2B, E4B, 26B A4B, and 31B. Gemma 4 models are designed to deliver frontier-level performance at each size. They are well-suited for reasoning, agentic workflows, coding, and multimodal understanding. Today, we’re bringing Gemma 4 to you on Google Cloud, including Vertex AI, Cloud Run, GKE, and Sovereign Cloud. Google DeepMind introduces Gemma 4, a family of state-of-the-art open models designed for on-device agentic workflows. Learn how to leverage multi-step planning, 140+ language support, and LiteRT-LM to build powerful, autonomous AI experiences across mobile, desktop, and IoT.
Gemma 4 E4B scores -20 on AA-Omniscience and Gemma 4 E2B scores -24, both substantially better than Gemma 4 31B (-45) and comparable to or better than much larger models like DeepSeek V3.2 (Reasoning, -21). The larger Gemma 4 models' AA-Omniscience scores are in line with Qwen3.5 27B (-42) and Gemma 4 26B A4B (-48) Google has announced the release of Gemma 4, a series of open-weight AI models, including variants with 2B, 4B, 26B, and 31B parameters, under the Apache 2.0 license. Key features include enhanced ...
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