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Tue, July 2123:00Model/APIModel releasesInfra & costMultimodal & imageModel releases guide

Google Launches Lower-Cost AI Security Model Gemini 3.5 Flash Cyber

Decision Brief

What changedGoogle introduces Gemini 3.5 Flash Cyber as a budget-friendly alternative to Anthropic Mythos, integrated into secure coding agent CodeMender.
Why it mattersTeams using AI security models can now access competitive vulnerability detection at lower cost, with multiple invocations scanning more code paths.
Who should careTeams building on model APIs
Affected stackClaudeGemini
Builder actionWorth evaluating: can Claude replace or complement your current model
Source confidenceMedium · Reliable media or first-hand reporting

Google released Gemini 3.5 Flash Cyber, a specialized security model based on Gemini 3.5 Flash, positioned as a cost-effective alternative to Anthropic's high-cost Mythos. It is initially available to government and trusted partners via CodeMender, Google's secure coding agent, which leverages fast, low-cost multiple invocations to scan more code paths and find vulnerabilities. In CyberGym AI security benchmarks, 3.5 Flash Cyber matched larger models with up to five calls; it identified 55 unique issues in the V8 JavaScript engine, surpassing 3.5 Flash's 47 and Opus 4.6's 36, with 10 undiscovered by others. Google also released Gemini 3.6 Flash (improved coding and multimodal) and 3.5 Flash-Lite (most cost-effective in the series). For security teams, 3.5 Flash Cyber offers lower costs, especially for those limited by Mythos's pricing. The multi-invocation design enables deeper code audits to uncover hidden bugs, but initial government-only access limits availability for developers.

Summary basis: full article readCompiled from the source scope noted above; the original remains authoritative.

Sources

  • The Verge:AI

    Consumer AI products, platform shifts, and policy/culture impact.

  • The Verge:AI

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