Reviewers are uniformly positive, though the feedback comes almost entirely from founders describing their own use cases rather than end users. The clearest pattern is strong reasoning on complex, multi-step work: the makers of
Gro say it handled long context, structured outputs, and outbound logic better than alternatives, while teams behind
kuku and Vivago highlight reliable tool use, low latency, and prompt rewriting for video workflows. Others also praise multimodal, creative, and architecture-planning work, with almost no specific drawbacks mentioned.
Scarlett.
Camocopy
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
DiffSense
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 😅🙏
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.
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?
Triforce Todos
Congrats to the team, parallel reasoning sounds like a real breakthrough.
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.