Every published Top AI Stories item tagged with Gemini Flash, newest first.
Google's third Flash release in six weeks is priced at an introductory 75 cents per million input tokens and three dollars seventy-five per million output, doubling on January 1. The companion 3.8 Flash Cyber scores 47.2 percent on first attempt at CWE-Bench patching, and Google will not sell it openly: access runs through a new Fairwind Program limited to national cyber authorities, critical-infrastructure operators and vetted platforms, with more than 650 partners including CrowdStrike, Palo Alto Networks and Wiz.
Google DeepMind shipped agentic video understanding for Gemini, which lets the model search, scan and re-inspect specific segments of a video across frames, audio and transcript rather than sampling at a fixed frame rate. Google reports up to 88 percent fewer tokens, up to 66 percent lower cost and up to 7 percent better accuracy on video tasks. It is live now in the Gemini application programming interface through Google AI Studio and the Gemini Enterprise Agent Platform, with the Gemini app and a YouTube question-answering feature to follow.
Google made Gemini 3.7 Flash generally available on August 13, calling it its most intelligent workhorse model yet for coding and agents. The jumps over 3.6 Flash are large for a three-week gap: long-horizon software engineering rises from 49.0 to 65.3 on DeepSWE version 1.1, and enterprise workflow automation nearly doubles from 17.0 to 30.4. Introductory pricing runs at 75 cents per million input tokens through December 31, then doubles on January 1.
Google released Gemini 3.6 Flash, a faster, cheaper workhorse that posts large coding and agent gains while using about 17 percent fewer output tokens than its predecessor; Gemini 3.5 Flash-Lite, a high-throughput model running at 350 tokens per second; and Gemini 3.5 Flash Cyber, a security-tuned model that finds and fixes software vulnerabilities, offered in a limited pilot to governments and trusted partners. Notably absent was the flagship Gemini 3.5 Pro, which Google says is still in testing. The company also confirmed that pre-training has begun on Gemini 4.
At Tuesday's annual developer keynote, Google unveiled Gemini 3.5 Flash as its new default agentic model — 76.2% on Terminal-Bench 2.1, 83.6% on MCP Atlas, and roughly four-times faster output than other frontier models at less than half the cost. Gemini Spark, a personal always-on agentic assistant, rolls to trusted testers; Antigravity 2.0 lets developers spawn parallel subagents across multi-week workflows; and the existing Gemini CLI sunsets June 18 in favor of an Antigravity CLI rewrite in Go. Gemini 3.5 Pro is teed up for next month.
Google framed its biggest Search box upgrade in over 25 years around agents rather than answers. Information agents will monitor the web around the clock for user-set triggers like apartment listings or sports updates, agentic booking expands to local services and automated business calls, and generative UI builds custom dashboards and mini-apps inside the results page on the fly. AI Mode now defaults to Gemini 3.5 Flash worldwide across 98 languages, and a new Universal Cart is designed to follow a single shopping session across the open web.