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In this video, I’ll be telling you about the new Gemini 3 integration in Gemini CLI and how you can access it through the waitlist or API. I also cover the massive UI overhaul, new configuration settings, and test the model against various coding benchmarks to see where it shines and where it fails due to model fallbacks.
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Key Takeaways:
🚀 Gemini 3 is now integrated into Gemini CLI via a fast-moving waitlist or instant API access.
🖥️ The CLI interface has been overhauled with sticky headers, mouse-based navigation, and anchored prompts.
⚙️ You need to enable preview features in settings to select Gemini 3 Pro via the slash models command.
⚡ Google is using their own TPU chips for inference, resulting in incredibly fast speeds and low costs.
✅ The model excels at creating Expo apps, Go-based calculators, and editing Godot games.
📉 Complex tasks like Svelte, Nuxt, and Tauri apps struggle due to automatic fallback to Gemini 2.5.
📊 You can verify which model was actually used for a task by running the Slash Stats command.
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