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Google DeepMind Blog

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Google's AI research lab publishes model releases, benchmark results, and research write-ups here. Long on method, short on marketing.

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The EmbeddingGemma 2 wordmark in white and blue on a dark blue surface of tilted glass panels.
Modelsmedium signal

EmbeddingGemma 2 embeds text, images, audio, and video in one 740M-parameter open model

Google DeepMind released EmbeddingGemma 2 on October 6, 2026, under Apache 2.0. The 740 million parameter model maps text, code, images, video, and audio into one embedding space and is built to run on a phone. It keeps the multilingual text quality of the first version, raises the MTEB Code score by almost ten points, and is already supported by llama.cpp, Ollama, MLX, vLLM, and transformers.js.

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Modelsstrong signal

Google announces Gemini 4 Argon for vetted cyber defenders only, at a $2 introductory input price

Google announced Gemini 4 Argon on September 30, 2026. The model is rolling out to a set of trusted cyber defenders through the Fairwind Program, and Google gives no date for developers, enterprises, or consumers. The introductory price is $2 per million input tokens and $10 per million output tokens, and it rises to $4 and $20 when the introductory period ends. The output limit grows to 1 million tokens from 64,000. The benchmark results in the announcement are Google's own reporting, and nobody outside the program can check them yet.

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