Google launches Gemini 2.5 Pro with Deep Think reasoning and 2M-token context

Google has rolled out Gemini 2.5 Pro featuring a 'Deep Think' reasoning mode and a 2-million-token context window — double its predecessor — available immediately on the Gemini API, Google AI Studio, and Vertex AI. The model is natively multimodal across text, code, images, audio, and video, and Google claims leading scores on MMLU-Pro, GPQA Diamond, HumanEval+, and MATH-500. Deep Think extends inference-time reasoning for harder multi-step problems, putting it in direct competition with OpenAI's and Anthropic's reasoning tiers.

The developer reaction is mixed in a telling way. Benchmark dominance is acknowledged, but practitioners on r/GoogleGeminiAI and Google's own dev forum flagged a 'hallucination trap' from long reasoning chains and complained the model 'trails on production coding' despite leaderboard wins. A widely-circulated forum thread called it 'a serious wake-up call' about reasoning degradation, and there were pricing gripes about a roughly '$250 extra' premium tier for Deep Think.

The launch also collides with Google's talent story: Gemini co-lead Noam Shazeer's departure for OpenAI broke the same week, and r/singularity surfaced reports that DeepMind is 'struggling to compete' with Anthropic and OpenAI, with some users saying the Pro update is 'not a step change.' The strategic question is whether Deep Think's benchmark lead translates into real-world coding and agentic reliability where competitors currently win developer loyalty. Watch independent evals (LMSys, production coding benchmarks) and whether the premium pricing dampens adoption.