Google 发布 3 款新 Gemini 模型：3.6 Flash、3.5 Flash-Lite 和 3.5 Flash Cyber

Google releases 3 new Gemini models. - Gemini 3.6 Flash: 17% fewer output tokens compared to 3.5 Flash, lower pricing, and stronger coding, knowledge, multimodal, and computer-use performance. On the DeepSWE coding test the new 3.6 Flash: jumps to 49% from the old 37%. Computer use is now built in, and OSWorld-Verified climbs to 83.0% from 78.4%. So the new 3.6 Flash is quite strong on agentic work. The price drops too, landing at $1.50/1M input and $7.50/1M output tokens. - 3.5 Flash-Lite: most cost-effective 3.5-class model, delivering 350 output tokens per second. costs just $0.3/1M input and $2.5/1M output, so high-volume work gets much cheaper. - 3.5 Flash Cyber: This is the odd one, tuned to find and patch security holes. highly efficient, specialized cyber-focused model . finds and fixes vulnerabilities through CodeMender, with access limited to governments and trusted partners.  > **引用原帖 Google DeepMind (@GoogleDeepMind):** > We’re rolling out three new models to make AI agents faster, smarter, and cheaper at scale: > 🔵 Gemini 3.6 Flash: It uses fewer tokens than 3.5 Flash to deliver higher quality work at the exact same cost. > 🔵 Gemini 3.5 Flash-Lite: A fast, cost-effective option for everyday tasks like processing documents and agentic search. > 🔵 Gemini 3.5 Flash Cyber: A cybersecurity model built to find and patch critical software vulnerabilities. > https://x.com/GoogleDeepMind/status/2079589698490572961