Google Releases Gemini 3.6 Flash On Vertex AI For Agentic Tasks
A new Gemini Flash model appears to be rolling out across Google tools, with fans focused on price and critics focused on what it says about the missing Pro release.
Entities: Gemini 3.6 Flash, Google, Google DeepMind, Gemini 3.5 Flash-Lite
Google's Gemini 3.6 Flash appears to have landed across AI Studio and Vertex AI, according to Android Headlines, with users on X spotting it live in Google AI Studio and the Gemini app. A GitHub announcement says the model is also rolling into GitHub Copilot. Reported pricing puts Gemini 3.6 Flash at $1.50 per million input tokens and $7.50 per million output tokens, lower on output than Gemini 3.5 Flash.
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Google Releases Gemini 3.6 Flash On Vertex AI For Agentic Tasks
A new Gemini Flash model appears to be rolling out across Google tools, with fans focused on price and critics focused on what it says about the missing Pro release.
Entities: Gemini 3.6 Flash, Google, Google DeepMind, Gemini 3.5 Flash-Lite
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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.
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.
Today we’re expanding the Gemini family with three new models built to be faster, more token efficient, and reliable at scale. Meet the new Gemini models ↓
We are cooking…at least in some areas 🖥️👾🎮💻
Gemini 3.6 Flash is here, and it's the best price-to-performance model we've tested for browser agents. On our BU Benchmark it hits 68%, beating GPT-5.6-sol (67%) and Sonnet 4.6 (62%). Second only to Opus 4.8 (74%), at a fraction of the cost. Frontier-level web agents at Flash pricing. @GoogleDeepMind
they are so scared of training Pro if Flash flops they can at least say "we have a bigger model, this is not our best" pls lock in Google bros
gemini-3.6-flash - "Our most intelligent model yet for sustained frontier performance in agentic and coding tasks." gemini-3.5-flash-lite - "High-throughput, low-latency execution for scaling high-volume agentic tasks and subagent workflows" https://twitter.com/synthwavedd/status/2079561561081811238
We are cooking, especially in some areas 🖥️👾🎮💻
Gemini 3.6 Flash is here, and it's the best price-to-performance model we've tested for browser agents. On our BU Benchmark it hits 68%, beating GPT-5.6-sol (67%) and Sonnet 4.6 (62%). Second only to Opus 4.8 (74%), at a fraction of the cost. Frontier-level web agents at Flash pricing. @GoogleDeepMind
Official post just went up.