Google's 2M-context multimodal flagship. Built for long video and huge codebases.
Google's 2M-context multimodal flagship. Built for long video and huge codebases. Gemini 3 Pro (March 2026) is Google's biggest jump yet โ 2M-token context, native video understanding, and the deepest integration with Google Workspace. The strongest model for analyzing long-form video and multi-file repositories.
Who it's for: teams deep in Google Workspace, anyone analyzing hours of video, devs working on million-line codebases
Doubled from Gemini 2.5. Ingest 4 hours of video, 5,000-page PDFs, or entire monorepos in a single request.
Watch 2-hour videos and answer questions about specific timestamps, characters, and visual details. No frame-sampling required.
Search, summarize, and draft across Gmail, Docs, Sheets, Drive from one prompt. The killer Workspace agent.
Cheapest top-tier model at $2.50/$10 per million tokens. Throughput is excellent on Vertex AI.
85% on SWE-bench Verified, 90% on HumanEval+. Behind Claude Sonnet 4 but ahead of most open models.
Gemini 3 Pro is the model you pick when context length matters more than peak reasoning. The 2M-token window and video understanding are unmatched. For a Google Workspace shop, the integration is a daily time-saver. For pure coding tasks, Claude Sonnet 4 still edges it out. For everything multimodal with depth, it's a coin flip with GPT-5.
Rating: โ 4.7/5 ยท Best for: teams deep in Google Workspace, anyone analyzing hours of video, devs working on million-line codebases