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Introducing Gemini 3.8 Flash and 3.8 Flash Cyber

Google DeepMind ()4 min read3
AI summary · glm-5.3-flashSummaries by Vani AI

Google DeepMind releases Gemini 3.8 Flash and 3.8 Flash Cyber with improved reasoning, coding, and cybersecurity vulnerability detection and automated patching.

Google DeepMind introduced Gemini 3.8 Flash, its strongest reasoning and coding model, priced at $0.75 per million input and $3.75 per million output tokens, alongside Gemini 3.8 Flash Cyber, a cybersecurity-specialized variant offered to trusted defenders via the Fairwind Program. The Cyber variant shows frontier-level autonomous vulnerability discovery on CyberGym, exceeds 70% success on an internal benchmark spanning 20 programming languages, and scores 47.2% pass@1 on the CWE-Bench patching benchmark. Google reports it produced 2.6x more correct Chrome vulnerability patches than larger commercial models and found a critical foundational bug in under 2 hours.

Key facts
  • Gemini 3.8 Flash scores 54.9% on HLE-Verified and beats larger frontier models on DeepSWE v1.1
  • 3.8 Flash Cyber exceeds 70% success on internal vulnerability discovery benchmark across 20 languages
  • Chrome Security team saw 2.6x more correct patches versus best commercial models
  • Models ship with CBRN and cyber-offense misuse safeguards per Frontier Safety Framework
  • Significant prompt injection robustness gains measured by Gray Swan
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From the original article

4 min read at deepmind.google

Our newest Gemini models deliver next-generation intelligence for agentic workflows and cybersecurity. Building on the momentum of 3. 7 Flash from three weeks ago and marking our third Flash release in only six weeks, today we’re introducing Gemini 3.

Google DeepMind

deepmind.google

Read the full article at Google DeepMind

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