Google $GOOGL announced three new Gemini AI models on Tuesday, including a cybersecurity-focused model designed to detect and patch software vulnerabilities, which the company said will be restricted to governments and trusted partners at launch.
Gemini 3.5 Flash Cyber, built to find and patch software vulnerabilities, will initially be available only to governments and trusted partners
Kevin Carter / Getty Images
Google $GOOGL announced three new Gemini AI models on Tuesday, including a cybersecurity-focused model designed to detect and patch software vulnerabilities, which the company said will be restricted to governments and trusted partners at launch.
The cybersecurity model, Gemini 3.5 Flash Cyber, uses Gemini 3.5 Flash as its foundation and has been specialized to detect, confirm, and remediate code vulnerabilities. It operates within Google's CodeMender agent, an AI-powered tool for vulnerability discovery and patching that the company unveiled in October 2025, according to The Hacker News. By invoking 3.5 Flash Cyber repeatedly, CodeMender is able to broaden its coverage across code paths and consolidate findings into one report.
Google said the model is available at a lower price per token than larger cybersecurity models and achieves competitive performance on the CyberGym benchmark, which tests AI agents against real-world software vulnerabilities. The company added that when tested on the V8 JavaScript Engine, Gemini 3.5 Flash Cyber found 55 unique confirmed vulnerabilities, compared with 47 for Gemini 3.5 Flash and 36 for Anthropic Claude Opus 4.6, including 10 issues no other model identified.
"Given the dual-use nature of this technology, we have taken an intentional approach to how we deploy 3.5 Flash Cyber," DeepMind's Gemini Security Lead Raluca Ada Popa and Vice President of Security and Privacy Four Flynn said in a statement. "This will give frontline defenders a head start in finding and fixing critical vulnerabilities before they can be exploited, while mitigating against broader misuse."
According to CNBC, the release positions Google to close ground on Anthropic, which has established itself as an early leader in automated code defense through its Mythos model.
The other two models launched Tuesday are available to the public. Gemini 3.6 Flash offers stronger coding and multimodal capabilities than the model it replaces and requires 17% fewer output tokens to complete tasks, the company said. It is priced at $1.50 per million input tokens and $7.50 per million output tokens, down from $9 per million output tokens for Gemini 3.5 Flash. Gemini 3.5 Flash-Lite sits at the bottom of the 3.5 series on both speed and cost, generating output at 350 tokens per second with pricing set at $0.30 per million input tokens and $2.50 per million output tokens. Both models are available through the Gemini app, Google AI Studio, and Android Studio.
Google added that Gemini 3.5 Pro remains in a partner testing phase before a wider rollout, and that work on Gemini 4 is underway with the most ambitious pretraining run the company has undertaken.
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