
Google releases three new Gemini models — but no 3.5 Pro
THE SO WHAT
Google doubling down on 3.6 Flash, 3.5 Flash-Lite, and Flash Cyber — and still holding back 3.5 Pro — says the near-term fight is on cost, latency, and specialization, not max IQ. If you’re building on Gemini, design for a portfolio of cheap, task-tuned models rather than betting your roadmap on a single flagship that keeps slipping.
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Agent economics are getting rewritten at the token level—Google is explicitly targeting long-horizon engineering workloads with up to 65% cost cuts via Gemini 3.6 Flash and its Flash variants. If you’re building agents, you should be re-running your unit economics and latency budgets against these new price points this week.
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Applied AIGoogle has new Gemini models, but the one everyone wants isn’t here
Google is filling out the Flash tier—general-purpose and cyber-focused—while holding back a new Pro, which keeps the spotlight on cost-efficient inference rather than raw capability. If you’re standardizing on Gemini, optimize around Flash for production today and treat Pro as a future upgrade path, not a dependency.