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Google Launches Three Gemini Models at Once: 3.6 Flash, 3.5 Flash-Lite, 3.5 Flash Cyber

Summary: Google expanded its Gemini lineup on July 21 with three new models covering performance, budget, and security use cases simultaneously.

Key Facts

  • Gemini 3.6 Flash: Up to 65% fewer output tokens than 3.5 Flash, DeepSWE coding score jumps 37→49, knowledge cutoff advanced to March 2026. Priced at $1.50/$7.50 per million tokens (input/output)
  • Gemini 3.5 Flash-Lite: Cheapest tier at $0.30/$2.50 per million tokens — targeted at lightweight tasks and high-frequency API calls
  • Gemini 3.5 Flash Cyber: Security-tuned model for finding and fixing vulnerabilities, restricted to governments and trusted partners in a limited pilot
  • Both 3.6 Flash and 3.5 Flash-Lite are live now in Google AI Studio, Android Studio API, and GitHub Copilot
  • Flagship Gemini 3.5 Pro was conspicuously absent again; Google hinted that Gemini 4 pre-training is already underway

Why It Matters

The 65% output-token reduction in 3.6 Flash could cut costs in half for agentic workflows that repeatedly call long contexts. Separately launching a security-hardened variant signals Google's intent to compete directly in the vertical AI security market — a move rivals have not yet matched at this scale.

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How this story unfolded

  1. 'BioShocking' Jailbreak Fools All 6 AI Browsers Into Leaking Credentials via Fake Game Logic
  2. GPT-5.6's Prediction Window Opens: 1.5M Token Context and Alignment Fix Expected
  3. GPT-5.6 Launch This Week Has 83% Odds, OpenAI Scientist Confirms 'Meaningful Leap'
  4. Gemini 3.5 Pro Still Unreleased With 11 Days Left in Google's June Commitment Window

Tools in this story

LLM
— Large Language Model의 약자로, '거대 언어 모델'이라고 해요. ChatGPT, Claude 같은 AI가 바로 LLM이에요. 엄청나게 많은 텍스트를 학습해서 사람처럼 글을 쓰고 대화할 수 있어요.

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