Gemini 3 is Google's latest AI model, designed to enhance development workflows by offering advanced reasoning and coding capabilities. It outperforms its predecessor, Gemini 2.5 Pro, particularly in coding tasks and agentic workflows, scoring 54.2% on Terminal-Bench 2.0. Developers can access Gemini 3 Pro through the Gemini API, with pricing set at $2 per million input tokens and $12 per million output tokens for prompts under 200k tokens. A free version is available in Google AI Studio, allowing developers to experiment with the model without incurring costs. One of the standout features is Google Antigravity, a new agentic development platform that allows developers to manage intelligent agents across various workspaces. This setup enables faster software development by automating complex tasks and enhancing collaboration between the user and AI. The model also supports “vibe coding,” where developers can create applications using natural language prompts, significantly reducing the need for detailed coding knowledge. Gemini 3 Pro leads in multiple benchmarks, including an impressive score of 1487 Elo in the WebDev Arena. Gemini 3 excels in multimodal understanding and visual reasoning, making it suitable for a variety of applications, from document handling to real-time video analysis. Its improved spatial reasoning capabilities enhance performance in areas like autonomous vehicles and robotics. Developers can configure the model’s parameters in the Gemini API for tailored performance based on their specific needs, ensuring that it integrates smoothly into existing workflows while unlocking new possibilities for software development.