🎉 Today, we’re making Gemini 2.5 Deep Think available to Google AI Ultra subscribers in the @GeminiApp
Gemini 2.5 Deep Think is a variation of the model that achieved the gold-medal standard at this year’s International Mathematical Olympiad (IMO). Deep Think uses parallel thinking and reinforcement learning techniques to deliver more detailed and thoughtful responses.
To demonstrate this, we prompted the model to generate a voxel art image of a pagoda using a single prompt. As you can see, compared to 2.5 Pro, Deep Think adds more and more detail to every aspect of the scene. From the architecture of the pagoda, to the fidelity of the trees, to the diversity of the ground plane, every aspect of the prompt gets handled more deeply.
This is the real me, but the background is courtesy of Gemini 4 Argon.
I showed Argon the two green-screen stills below and asked it to 1) build me a room in Blender, 2) recreate the camera angles, 3) use Nano Banana to 'skin' the Blender background to match the foreground, and 4) key it back into the original video.
The result: an accurate background across both angles.
Google DeepMind@GoogleDeepMindOct 13United Kingdom
United KingdomConnected via WebAccount-level information, not a live location or per-post device.
Gemini 4 Argon is now globally available.
Built to solve your hardest problems from start to finish, the model brings frontier capabilities across coding, enterprise workflows, and cyber defense.
Gemini 3.7 Flash could make a decent DOOM (1992) clone from a single prompt. Gemini 3.8 Flash can make a decent GoldenEye (1997) clone.
That's a five year jump in two weeks.
Replying to @GeokenAI @antigravity
...and in Google Chat, using the 'edit' feature to update each frame.
I used Gemini 3.7 Flash in @antigravity to generate an Omni video in Google Sheets... (1/3)










