Gemini 3 Deep Think by Google
Google’s best model for logical thinking and understanding
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Aleksandar Blazhev

Gemini 3 Deep Think by Google - Google’s best model for logical thinking and understanding

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Gemini 3 Deep Think introduces Google’s most advanced reasoning model yet built to solve complex math, science, and logic challenges that push the limits of AI. Using parallel reasoning across multiple hypotheses, it delivers deeper understanding and human-like insight. Available now for Google AI Ultra subscribers in the Gemini app.

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Aleksandar Blazhev
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Hey everyone! Google just launched Gemini 3 Deep Think! A major leap in AI reasoning. Built to handle complex math, science, and logic tasks, it uses parallel reasoning to explore multiple ideas at once, bringing AI closer to human-like understanding. Ultra subscribers can try it now in the Gemini app under Gemini 3 Pro → Deep Think.
André J

Really cool. Been using gemini all summer. Really fast and nimble. Great for day to day work. Only using gpt5 and Sonnet for harder problems. So this is a welcomed model to compete with the elite LLMs. I hope its included in the startup perk package 😅🙏

Jim Engine

So not yet for Pro users? I would honestly feel betrayed if I were paying for Pro and would like to test this new feature

Sadam Ansari

Really exciting to see this launch because my past encounters with AI reasoning felt limited and this model gives me hope that complex problem solving might finally be more intuitive and human-like.

Abdul Rehman

Congrats to the team, parallel reasoning sounds like a real breakthrough.

Nann

Do you plan to expand access to Gemini 3 Deep Think (e.g., via developer APIs, or to lower-tier Google AI subscribers)? Also, will the model integrate with Google’s productivity/development tools (e.g., Colab, Docs) to embed reasoning workflows into common workspaces?

shemith mohanan

Love this angle: not just “smarter model” marketing, but clearly framed around math, science, and logic reasoning. The “parallel hypotheses” bit is especially interesting—curious to see how it handles real-world problem-solving vs. earlier Gemini versions.