Gemini 3 Deep Think, a new advanced reasoning mode of Gemini 3 from Google is now being rolled out to paid “AI Ultra” subscribers via the Gemini app. Deep Think uses “advanced parallel reasoning,” enabling the AI to simultaneously explore multiple hypotheses to solve complicated math, science, logic, and multi-step problems.
Google has begun rolling out Gemini 3 Deep Think, a powerful new mode inside its latest AI model, Gemini 3. The feature is available first to users subscribed to the premium “AI Ultra” plan through the Gemini app. Unlike standard response modes, Deep Think focuses on structured reasoning, using what Google calls “advanced parallel reasoning.” This means the model can explore several potential solution paths at the same time before crafting its final answer — an approach designed to improve depth, accuracy, and reliability for complex problem-solving.
Gemini 3 itself already introduces major improvements in understanding text, images, audio, video, and code. Deep Think pushes this further by strengthening how the AI handles multi-step logic, scientific analysis, data interpretation, and advanced coding tasks. According to Google, the same reasoning techniques behind Deep Think were used in earlier Gemini 2.5 research variants that achieved gold-medal-level performance on competitions such as the International Mathematical Olympiad (IMO) and ICPC World Finals.
Early public benchmark results reflect this emphasis. Google reports that Deep Think reached 41.0% on the “Humanity’s Last Exam” benchmark without using tools, and 45.1% on the notoriously difficult ARC-AGI-2 when tool use was enabled. These tests are designed to challenge reasoning systems with problems requiring creativity, logical inference, and the ability to generalize beyond memorized data. With scores placing Deep Think among the highest-performing models in its class, Google is presenting it as a breakthrough in general reasoning for consumers and professionals.
Users can activate Deep Think by selecting the mode inside the Gemini app while running Gemini 3 Pro. Although Gemini 3 is broadly rolling out across Google Search, the Gemini app, APIs, and enterprise platforms, the Deep Think mode itself remains locked behind the Ultra subscription tier. This suggests Google views advanced reasoning as a premium capability aimed at power users — researchers, developers, engineers, and professionals who require deeper analytical performance than everyday chat or creative tasks demand.
Why It Matters
Deep Think represents a meaningful shift in how large language models approach complex reasoning. Instead of generating quick responses based on pattern matching, the model now evaluates multiple hypotheses simultaneously, leading to more reliable and structured solutions. This could transform the usefulness of AI for people working in fields that require logical rigor: engineering, mathematics, scientific research, data analysis, and software development. It also signals Google’s commitment to competing aggressively at the high end of the AI market, especially in multimodal and reasoning-centric applications.
What to Watch
- Who gets access — and when. For now, Deep Think is limited to “AI Ultra” subscribers. It’s unclear whether or when this capability might be extended to lower-tier users or free users. That access restriction will shape who can actually benefit from the upgrade.
- Real-world performance vs. benchmarks. Benchmarks like “Humanity’s Last Exam” or ARC-AGI-2 are useful — but real work often involves messy, ambiguous, interdisciplinary problems. It remains to be seen how reliably Deep Think handles those in real-life tasks (e.g. long-form research, involved codebases, design tasks, creative-but-technical projects).
- Cost vs benefit for typical users. At “Ultra” tier pricing, Deep Think likely appeals more to professionals and heavy users than casual users. For many, the cost may outweigh the benefit unless they truly need advanced reasoning or technical problem solving.
- Broader impact on the AI landscape. As Google ramps up its most advanced model yet, other AI providers will feel pressure to match or surpass it. This could accelerate the pace of innovation — but also raise new questions about safety, reliability, bias, and governance as AI systems get more powerful.
