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Google AI Blog

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Google AI Blog

Google AI BlogApr 2, 2026

Gemma 4: Byte for byte, the most capable open models

Google released Gemma 4 — their most capable open model family yet, with multimodal understanding and strong performance across reasoning, coding, and instruction following tasks. Designed to run on-device and at edge scale, Gemma 4 closes the gap with frontier closed models while remaining fully open-weight. A significant update to the most widely-used Google open model series.

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Google AI BlogMar 17, 2026

Gemini API tooling updates: context circulation, tool combos, and more

Google shipped a batch of Gemini API developer tooling improvements — context circulation for passing state between calls, tool combination patterns for chaining multiple tools in one request, and better streaming support. Incremental but practically useful updates for developers building production agent pipelines on Gemini.

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Google AI BlogMar 10, 2026

Gemini Embedding 2: Our first natively multimodal embedding model

Google launched Gemini Embedding 2 — their first natively multimodal embedding model, capable of embedding text, images, and mixed content into a unified vector space. Enables semantic search and RAG pipelines that work across modalities without separate embedding models per content type. A significant capability addition for developers building multimodal retrieval systems.

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