Venturebeat iconVenturebeatSep 3, 2026 ~1 min source read

Google’s Gemini 3.8 Flash is built for agents, while its Cyber twin hunts vulnerabilities

Google keeps cranking out Flash models: the company on Wednesday announced two versions of a new 3.8 Flash. The variants include a standard Flash, a "workhorse" model for agentic tasks, software development, and multi-step reasoning, and Flash Cyber optimized for vulnerability detection and mitigation.

Google’s Gemini 3.8 Flash is built for agents, while its Cyber twin hunts vulnerabilities

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Google keeps cranking out Flash models: the company on Wednesday announced two versions of a new 3.8 Flash.

The variants include a standard Flash, a "workhorse" model for agentic tasks, software development, and multi-step reasoning, and Flash Cyber optimized for vulnerability detection and mitigation.

It is priced at $0.75 per million input tokens and $3.75 per million output tokens — the same introductory pricing as Gemini 3.7 Flash — and users can customize and adjust model effort levels based on their...

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Google keeps cranking out Flash models: the company on Wednesday announced two versions of a new 3.8 Flash. The variants include a standard Flash, a "workhorse" model for agentic tasks, software development, and multi-step reasoning, and Flash Cyber optimized for vulnerability detection and mitigation. For instance, it outperformed many large frontier models on the DeepSWE coding benchmark, at far lower cost.

How it works

  • It is priced at $0.75 per million input tokens and $3.75 per million output tokens — the same introductory pricing as Gemini 3.7 Flash — and users can customize and adjust model effort levels based on their...
  • The model achieved 86.2% on the CyberGym cybersecurity benchmark and 47.2% on CWE-Bench, which evaluates AI patching abilities.
  • In an internal Google benchmark, the model achieved a more than 70% success rate discovering vulnerabilities across 20 programming languages, Pichai said.
  • 3.8 is Google's third Flash release in six weeks and comes quickly on the heels of version 3.7.
  • For instance, when compute efficiency is a priority, they can adjust to lower token overhead, or simply contin...

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