With Gemini 3.8 Flash, Google reminds everyone it’s still in the race
AI model scores well, runs fast, and doesn’t cost too much (yet)
www.theregister.com/ai-and-ml/2026/09/02/with-gemini-38-flash-google-reminds-everyone-its-still-in-the-race/5294049
OpenAI y Anthropic tienen un problema: los nuevos modelos baratos de Google y Meta ya son demasiado buenos
Gemini 3.8 Flash y Muse Spark 1.3 cuestan mucho menos que los mejores modelos frontera, pero se acercan peligrosamente a su rendimiento
www.xataka.com/robotica-e-ia/openai-anthropic-tienen-problema-nuevos-modelos-baratos-google-meta-demasiado-buenos
Introducing Gemini 3.8 Flash and 3.8 Flash Cyber
blog.google/innovation-and-ai/models-and-research/gemini-models/3-8-flash-and-3-8-flash-cyber/
Google dévoile Gemini 3.8 Flash et une déclinaison dédiée à la cybersécurité
www.blogdumoderateur.com/google-gemini-3-8-flash-declinaison-cybersecurite/
Gemini 3.8 Flash — Google DeepMind
deepmind.google/models/gemini/flash/
Gemini 3.8 Flash Models – Intelligence, Performance & Price Comparison | Artificial Analysis
artificialanalysis.ai/models/releases/gemini-3-8-flash
Google accélère et sort Gemini 3.8 Flash – Korben
korben.info/google-accelere-et-sort-gemini-3-8-flash.html
Gemini 3.8 Flash – Model Card — Google DeepMind
deepmind.google/models/model-cards/gemini-3-8-flash/
Model Cards are intended to provide essential information on Gemini models, including known limitations, mitigation approaches, and safety performance. Model cards may be updated from time to time; for example, to include updated evaluations as the model is improved or revised. See the Google DeepMind site for a comprehensive list of model cards.