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Gemini 3.8 Flash adds effort controls for multi-step agent work

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x.com
Date
Google AI@GoogleAI
Thread · 2 parts

We’re introducing Gemini 3.8 Flash ⚡️ built to tackle complex agentic and multi-step tasks with even greater diligence. Our most intelligent workhorse model yet delivers significant improvements in reasoning, evolving to an AI partner that doesn’t just write code, but can also navigate complex projects. While solving ambiguous and high-friction tasks is immensely helpful, it can also be expensive. Fortunately, 3.8 Flash features the usual effort controls, ensuring that the amount of thinking required to accomplish the task at hand is proportional to the tokens spent. Watch Gemini 3.8 Flash combine native video understanding with advanced coding to autonomously build this 3D game, play it to find errors, and execute code changes in a seamless agentic loop in @antigravity.

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— Available to Google AI Pro and Ultra subscribers across the @GeminiApp, AI Mode in Google Search, and Google Sheets — Build in the Gemini API via @GoogleAIStudio and @AndroidStudio, explore agent-first workflows in @antigravity, and generate UIs with 3.8 Flash in @stitchbygoogle — Gemini Enterprise users by picking it from the drop down model menu or in Gemini Enterprise Agent Platform. https://t.co/OzPm3Et10i

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Context

Gemini 3.8 Flash retains adjustable thinking effort, giving applications a way to balance answer quality, cost and waiting time. Google DeepMind's model card identifies it as building on Gemini 3.7 Flash and says it continues to support customizable effort levels for quality, cost and latency.

Google AI's announcement says difficult agentic tasks can be expensive, and that effort controls keep the thinking, and spent, proportional to the task. It presents them as the usual feature carried forward, alongside reasoning improvements for multi-step work.

Terms in this piece · Glossary
  • token — The chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.
  • AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
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