If GPT-5.1 is the decisive teammate and Opus 4.5 the disciplined architect, Gemini 3 is the dense engineer who delivers a fully reasoned diff that is confident, comprehensive, and intent on proving its point.
Gemini 3’s strongest areas are concurrency and system correctness. It frequently detects interleaving and synchronization issues that other models overlook. It excels at diagnosing the why behind a bug. Learn more: coderabbit.ai/blog/gemini-3-…
Gemini 3 trades brevity for understanding. It does not simply provide a fix; it delivers a short investigation. This depth makes it particularly valuable for large, complex systems. Let's put it this way, “You don’t skim Gemini 3. You study it.”
Learn more about how it measures up against: > GPT 5.1 > Opus 4.5 > Sonnet 4.5 coderabbit.ai/blog/gemini-3-…
Alright, I’ll take your word. I’ll try Gemini 3 for the next days.
This 'dense engineer' vibe for Gemini 3 is spot on. For AI automations, the reasoning *behind* the suggestion is often more critical than the suggestion itself. That's how you build trust with devs.
Too bad Gemini Code Assist can only handle one project at time. That means it is unable to assist those who build in components. mslinn.com/llm/7900-gemin…
Gemini is great at identify bottleneck and trouble shooting and can solve quite complex problem. I prefer claude for normal coding session as it write cleaner code and not too aggressive on early optimisation
Speed is nice, but a full explanation is better. Knowing the real reason keeps the code safe for good.
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