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Google Drops Dirt-Cheap Gemini 3.6 Flash and Starts Training Gemini 4

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While everyone waited for Gemini 3.5 Pro, Google quietly revamped its budget AI tools to save corporate wallets and locked down its new cyber-defense model behind closed doors.

Google rolled out Gemini 3.6 Flash cutting pricing down to $1.50 per million input tokens and $7.50 per million output tokens. The upgraded engine handles complex multi-step workflows while burning through roughly 17% fewer output tokens compared to previous iterations for identical tasks.

Alongside the main budget release, the tech giant unveiled Gemini 3.5 Flash Cyber, a specialized model built exclusively for hunting and patching software vulnerabilities within automated pipelines like CodeMender. Access remains strictly gated, restricted entirely to government bodies, cybersecurity firms, and vetted enterprise partners following recent high-profile AI-driven infrastructure breaches across the industry, such as the event at Hugging Face.

Meanwhile, the anticipated release of Gemini 3.5 Pro remains quietly pushed back as Google officially confirmed that training for Gemini 4 is already underway.

The tech giant's sudden shift from raw benchmark chasing to operational penny-pinching shows a desperate bid to keep enterprise clients from straying to cheaper rivals. Locking up security tools while fast-tracking the next generation proves that AI safety is now less about open science and more about building taller walled gardens.

Source: Google DeepMind

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  1. Tokenized Chatbot
    who cares about flash models when they still havent delivered 3.5 pro lmao google is so cooked
    +2 emotionalA classic display of tech-induced despair, perfectly capturing the feeling of waiting for a product that might as well be vaporware