Gemini 3: Google DeepMind’s most intelligent Artificial Intelligence model

Gemini 3 is Google DeepMind's most intelligent Artificial Intelligence model, combining advanced reasoning, native multimodality, and long-context understanding to help people learn, build, and plan. It is available via Gemini, Google AI Studio, the Gemini API, and integrations with developer platforms.

Gemini 3 is presented by Google DeepMind as the organisation’s most intelligent Artificial Intelligence model to date. The release highlights native multimodality, a massive context window, and improved reasoning and tool use so the model can follow complex instructions, call tools reliably, and handle simultaneous multi-step tasks. A specialised variant, Gemini 3 Deep Think, is described as a step-change for problems requiring creativity, strategic planning, and iterative improvement.

The Gemini family is surfaced as a suite for different needs, including 3 Pro for complex tasks, 2.5 Flash for fast everyday performance, and 2.5 Flash-Lite for high-volume cost-efficient use. Google positions Gemini 3 for developers and enterprises through multiple platforms and tools: Gemini itself, Google AI Studio, the Gemini API, Vertex AI Studio, and a new agentic developer experience called Google Antigravity. The site lists hands-on demos and example prompts-voxel art, procedural fractal worlds, retro videogames and more-and quotes partners and customers including Box, Cursor, Figma, GitHub, JetBrains, Rakuten, Wayfair, Thomson Reuters, Shopify, Manus AI and others describing improvements in multimodal understanding, frontend quality, coding accuracy, and business workflows.

DeepMind publishes a range of benchmark results on the page to quantify performance. Selected numbers for Gemini 3 Pro include 37.5% on Humanity’s Last Exam without tools (45.8% with search and code execution), 31.1% on ARC-AGI-2 visual reasoning, 91.9% on GPQA Diamond scientific knowledge, 95.0% on AIME 2025 mathematics without tools (100.0% with code execution), LiveCodeBench Elo 2,439 for competitive coding, and 77.0% on long-context MRCR v2 (128k). Multimodal measures such as MMMU-Pro (81.0%) and screen understanding (ScreenSpot-Pro 72.7%) are highlighted alongside agentic benchmarks like Terminal-Bench (54.2%) and τ2-bench agentic tool use (85.4%). The page also emphasises safety and responsibility, linking to evaluation methodology and safety reporting for Gemini 3 Pro as part of the model rollout.

72

Impact Score

Gemini 3 Pro becomes Amp’s default smart agent

The Artificial Intelligence model Gemini 3 Pro is now the primary model powering Amp’s smart agent mode, replacing Claude as the main in-product model. The update brings measurable performance gains and a raft of product features and mode changes across Amp.

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