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Summary: Gemini 3.7 Flash in 30 Seconds Gemini 3.7 Flash landed on August 13, 2026, only three weeks after 3.6 Flash. Introductory pricing is $0.75 in / $3.75 out per 1M tokens: half of 3.6 Flash’s standard rate. The promo ends December 31, 2026. Coding jumped hard: FrontierCode 1.1 went from 34.4% to 43.6%, DeepSWE v1.1 from 48.6% to 65.3%. Context window is 1,048,576 tokens with a 65,536 token output cap. It takes text, images, video, audio and PDF. It is not the smartest model on the board: 56 on the Artificial Analysis index, one point behind GPT-5.6 Terra and Muse Spark 1.2, at roughly a third of their price. Google’s Flash line has never been about winning the intelligence crown. It is the model you run at volume: cheap enough to call thousands of times a day, fast enough to sit inside a product. Gemini 3.7 Flash stretches that definition. ...

On July 21, 2026, alongside Gemini 3.6 Flash and 3.5 Flash-Lite, Google announced a third model that is nothing like the other two. Gemini 3.5 Flash Cyber is purpose-trained for cybersecurity, and it is not generally available. It is a 3.5 Flash derivative fine-tuned to discover, validate, and remediate software vulnerabilities. It got its own separate post on the DeepMind blog, which itself says a lot about how differently Google treats this one. ...

On July 21, 2026, Google announced three new Gemini models at once: Gemini 3.6 Flash, Gemini 3.5 Flash-Lite, and the defense-focused Gemini 3.5 Flash Cyber. The theme of the announcement is clear: not higher scores, but getting the same job done with fewer tokens. As agentic workflows move into production, the bill is driven less by how smart a model is and more by how many tokens that intelligence burns. Google aimed straight at that. Here are the details. ...

Hello everyone! 😁 Today we’re diving into a very exciting topic. Google DeepMind just dropped a massive bomb in the open source AI world: Gemma 4 models are officially released! 🚀 You know how people keep saying “open source models are nice but they can’t even compete with closed source ones”… With Gemma 4, you might want to rethink that claim. This model family delivers the most impressive intelligence-per-parameter we’ve ever seen. ...

A New Era in AI: Real-Time, Interactive Virtual Worlds! 🚀 Imagine creating a virtual world you can explore in real-time, physically consistent and stable for minutes-using just one sentence. With Google DeepMind’s Genie 3 model, this is no longer science fiction, but today’s reality! For developers and researchers pushing boundaries, this technology is ushering in a new era of AI-powered interactive environment creation. ✨ What is Genie 3? 🤖 Genie 3 is a general-purpose world model that can generate interactive environments in real time at 24 FPS, 720p resolution, and maintain consistency for minutes, all from a text prompt. Users can freely explore these worlds, and the environment’s physical consistency is preserved. This technology is not just a video generation tool; it creates dynamic environments with high physical consistency and diversity, which users can direct in real time. ...