Google has introduced three new Gemini artificial intelligence models focused on speed, affordability and cybersecurity, but once again delayed the release of its flagship Gemini 3.5 Pro model.
The latest releases include Gemini 3.6 Flash, Gemini 3.5 Flash-Lite and Gemini 3.5 Flash Cyber. Google said the new models are designed to deliver better performance while reducing computing costs, reflecting increasing demand from businesses for AI systems that are faster and cheaper to deploy at scale.
Gemini 3.6 Flash is positioned as Google’s primary workhorse model, offering stronger coding capabilities, improved multimodal reasoning and up to 17% lower token usage than its predecessor. The company said the model is intended for developers and enterprises seeking a balance between performance and operating costs across a broad range of applications.
Google also unveiled Gemini 3.5 Flash-Lite, its most affordable model in the Gemini 3.5 family. The model is designed for lightweight workloads such as chatbots, document processing and customer support, where response speed and cost efficiency are more important than advanced reasoning capabilities.
The third release, Gemini 3.5 Flash Cyber, targets cybersecurity applications. Optimised to identify software vulnerabilities and assist with threat detection, the model will initially be made available to governments and selected trusted partners before a broader rollout. Google said the specialised model achieved strong results in internal security testing while operating at significantly lower costs than larger AI systems.
Conspicuously absent from the announcement was Gemini 3.5 Pro, Google’s most advanced reasoning model. Originally expected to launch in June, the model remains in testing after reportedly falling short of internal performance expectations in coding, one of the most competitive areas of enterprise artificial intelligence. Google has said the model will be released “soon” but has not announced a revised launch date.
The delay comes as rivals continue accelerating product launches. OpenAI recently introduced GPT-5.6, while Anthropic, xAI and several Chinese AI companies have expanded their own model portfolios, increasing competitive pressure on Google to deliver a flagship system capable of matching or exceeding rival offerings.
Rather than focusing solely on developing the industry’s most powerful model, Google appears to be broadening its AI portfolio to address different customer needs. By prioritising lower costs, specialised capabilities and enterprise deployment, the company is betting that businesses increasingly value efficiency alongside raw performance. The success of that strategy, however, may ultimately depend on how quickly Google can deliver Gemini 3.5 Pro and demonstrate that it remains competitive at the top end of the rapidly evolving AI market.
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