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Google has introduced new Gemini models: Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber.
Gemini 3. 6 Flash enhances coding and knowledge tasks by improving token efficiency, using 17% fewer output tokens than its predecessor, 3.
Source: blog.google
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I'm curious how the Gemini 3.6 Flash compares in performance to OpenAI's latest models.
Using fewer tokens is great, but how does it affect the quality of the generated code.
I've been using the Gemini 3.5 Flash Cyber for cybersecurity tasks and it's been quite effective.
The naming conventions for these models are getting a bit convoluted.
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