Google Antigravity

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, 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. ...

The cards are being dealt again in the world of artificial intelligence! Google has pushed the boundaries one step further with the recently announced Gemini 3.1 Pro model. 🚀 If you are even slightly interested in AI, I’m sure your excitement will peak while reading this article. 😄 We have a lot to learn, so let’s get started right away! What is Gemini 3.1 Pro and Why is it So Important? To briefly summarize; Gemini 3.1 Pro is the most advanced, natively multimodal artificial intelligence model with the highest logical reasoning capability that Google has developed to date. Thanks to its massive 1 million token context window, it can process text, audio, image, video, and even entire code repositories simultaneously. 🤯 ...