Gemini CLI Intelligence Degradation? It Simply Doesn't Exist!
Gemini CLI "dumbing down" debunked! Learn the real auto-scheduling mechanism, API setup, and pro tips for developers using Flash vs Pro models.
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Gemini CLI doesn't have the so-called "intelligence degradation" problem at all - it's just that most people haven't chosen the correct way to use it.
The so-called intelligence degradation that people refer to is what some call the "Pro model," automatically switching to the "Flash model."
This isn't intelligence degradation - this is Gemini CLI's automatic scheduling mechanism. Real intelligence degradation is CloseAI, whereas as long as your IP isn't pure, o3 immediately goes from 0-second thinking to GPT3.5.
Gemini CLI's automatic scheduling mechanism will definitely trigger model switching in the following situations:
Simple tasks: Basic operations like
npm start,ls -laautomatically select the Flash modelComplex tasks: Code architecture design, multi-module integration testing, etc., will invoke the Pro model
Tool call failures: When command execution fails, subsequent error analysis uses the Flash model
Additionally, it will automatically switch after two or more consecutive slow responses. Of course, there are also issues with Google's own systems - when user usage and request volume surge, the system will also trigger switching.
So, how do you prevent Gemini CLI from automatically switching?