I don't view Gemini as falling behind. I actually view it as a somewhat distinct type of intelligence compared to the latest iterations of GPT5 and Claude. The latter are, increasingly, very focused on productivity and automation of work tasks. They're optimized for long, agentic, self-correcting reasoning loops. Gemini is very different: it feels to me like a much smarter baseline model, with much deeper intuition (especially its Deep Think mode), but it's not nearly as good at long-range self-corrective agentic loops. For months now my workflow has been to use Gemini for creative leaps and insights, while preferring Codex or Claude or GPT5.5 Pro for routine or precision work.