Gemini’s Agentic Vision adds a think, act, observe loop and Python tools, helping teams audit images faster and cut counting errors.

What if you could unlock the power to solve complex equations, generate Python scripts on demand, or analyze multimedia data, all with a single tool? Enter Gemini 3, Google’s innovative AI model ...

By Karyna Naminas, CEO of Label Your Data Choosing the right AI assistant can save you hours of debugging, documentation, and boilerplate coding. But when it comes to Gemini vs […] ...

Google DeepMind has added Agentic Vision to Gemini 3 Flash, enabling active image exploration through Python code execution with 5-10% quality improvements.

Google has introduced Agentic Vision for Gemini 3 Flash, a new capability that improves how the model understands and responds to image-based prompts.

Google began its transition to Gemini 3 a few weeks ago with the launch of the Pro model, and the arrival of Gemini 3 Flash kicks it into high gear. The new, faster Gemini 3 model is coming to the ...

The Gemini API improvements include simpler controls over thinking, more granular control over multimodal vision processing, and ‘thought signatures’ to improve function calling and image generation.

Google expands Gemini AI across Search, Gmail, Chrome, and enterprise tools as adoption and cloud revenue surge.

The new capabilities combine visual reasoning with Python code to improve image analysis and enable active investigations.

Agentic Vision, a new feature for the Gemini 3 Flash model, improves image-related tasks by grounding answers in visual evidence.