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On August 13, 2026, Google DeepMind released Gemini 3.7 Flash, calling it its strongest flagship model for coding and agents, just three weeks after the release of Gemini 3.6 Flash. Official figures state that the model scored 43.6% on FrontierCode 1.1 Main (34.4% for 3.6 Flash), 65.3% on DeepSWE v1.1 (49.0%), 1588 versus 1538 on WebDev Arena Elo, 34.0% versus 22.0% on GDP.pdf, and 30.4% versus 17.0% on AutomationBench; through the end of the year, introductory pricing is $0.75 per million input tokens and $3.75 per million output tokens, half the original price of 3.6 Flash, and it comes with updated safeguards against CBRN and cyberattack misuse. The next day, Google AI Developers showcased it building a 3D web game with Three.js in Antigravity, as well as generating native code for Flutter, SwiftUI, Jetpack Compose, React Native, and NativeScript from a single architecture spec. On August 17, the company officially demonstrated it extracting historical plants from a Victorian botanical illustrated guide PDF and classifying them according to APG IV; on August 18 it showcased
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- Source:Sundar Pichai
Google showcases Gemini 3.7 Flash one-click website building
Source:Google AI for Developers- Source:Google AI for Developers
- Source:Google DeepMind
Gemini 3.7 Flash generates native code for multiple frameworks in Antigravity
Source:Google AI for Developers
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Google Releases Gemini 3.7 Flash for Coding and Agentic Tasks
Google AI Developers announced the launch of Gemini 3.7 Flash, calling it the most intelligent workhorse model for coding and agentic tasks, with improvements in instruction following, first-pass code accuracy, and the quality of agentic task execution. The official demo showed the model building a complex 3D web game with Three.js in Antigravity, covering 3D engine logic, generating PBR materials and sprite sheets with Nano Banana, and procedural sound effect integration. The tweet includes a link to learn more.
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Aug 13
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