Descriptions:
Google Gemini 3.1 Pro introduces a feature called Agentic Vision that moves image analysis from a single-pass glance to an active, multi-step investigation. Using a think-act-observe loop, the model writes and executes Python code to crop, zoom, and annotate images before delivering a final answer — a capability that dramatically reduces hallucinations on tasks involving small text, hidden details, or ambiguous visual scenes. TheAIGRID demonstrates how to activate it via Google AI Studio’s code execution tool.
The video benchmarks Agentic Vision against ChatGPT (with extended reasoning enabled) on two specific tests: identifying the characters in a well-known Family Guy optical illusion, and correctly counting six fingers in a deliberately tricky image. ChatGPT fails both; Gemini 3.1 Pro with Agentic Vision active succeeds on both, with the model’s intermediate annotation steps visible in the output. The walkthrough covers exact configuration steps in AI Studio, including why the standard Gemini interface is less reliable for tool-calling than the Studio environment.
Beyond vision, the video covers the Canvas feature, which lets Gemini generate interactive browser-based visualizations and 3D animations through iterative prompting. A cross-section gunfire animation and a multi-step procedural city simulation (terrain, water, roads, satellite render) demonstrate the range. For developers and power users evaluating multimodal AI capabilities in early 2026, this hands-on comparison of Gemini 3.1 Pro against current-generation ChatGPT is a practical reference.
📺 Source: TheAIGRID · Published February 20, 2026
🏷️ Format: Tutorial Demo
