Gemini 3 Deep Think by Google

Google’s best model for logical thinking and understanding

5.0•17 reviews•

847 followers

Google’s best model for logical thinking and understanding

5.0•17 reviews•

847 followers

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Foundation Models

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.

Gemini 3 Deep Think by Google Reviews

The community submitted 17 reviews to tell us what they like about Gemini 3 Deep Think by Google, what Gemini 3 Deep Think by Google can do better, and more.

5.0

Based on 17 reviews

Review Gemini 3 Deep Think by Google?

Reviewers are uniformly positive, though the feedback is sparse and comes almost entirely from founders. The most specific praise is for reasoning: the makers of

Gro

say it handled long context, multi-step logic, and structured output better than alternatives in outbound workflows. The makers of

kuku

highlight reliable tool calling, file actions, and low latency, while the makers of Contentdrips say it makes fewer mistakes in visual work. No clear weaknesses appear in the reviews provided.

+14

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used

Gemini 3 Deep Think by Google

to build Gravity DMG instead of Claude Code

•4 reviews

I chose Gemini 3 Deep Think for its ability to help me map out the complex logic and architecture behind the visual-to-terminal pipeline. A huge thanks to both: Gemini 3 Deep Think for being a powerful sounding board for high-level architecture, and Claude Code for its precision in helping me refine the native SwiftUI implementation and terminal automation. They were the perfect technical partners for helping me polish the finer details of the app.

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Claude Code

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used

Gemini 3 Deep Think by Google

to build Gro

•5 reviews

We chose Gemini 3 for thegro.ai because we needed more than text generation — we needed reasoning. Across real outbound workflows (lead research, prioritization, structured outputs, and human-sounding outreach), Gemini consistently handled long context and multi-step logic better than the alternatives we tested. It gave us strong performance, predictable formatting for Gro IQ, and a cost profile that makes scaling a self-serve AI Sales Co-Pilot viable. For us, it wasn’t about hype — it was about building on a foundation that thinks clearly at scale.