Deep Research Max: Autonomous Research Agents Powered by Gemini 3.3 Pro
Google introduced Deep Research and Deep Research Max, autonomous research agents built on Gemini 3.3 Pro that add MCP support, native charts, collaborative planning and multimodal grounding to long-horizon research workflows via the Interactions API.
New Gemini API Updates for Gemini 3: Thinking Levels, Media Resolution and Thought Signatures
Google's developer blog details the Gemini API changes shipped for Gemini 3, including a thinking_level parameter, granular media_resolution controls, encrypted thought signatures, grounding with structured outputs, and revised Google Search grounding pricing.
Gemini 3 Pro Arrives: State-of-the-Art Reasoning, 1M-Token Context and Deep Think
Google DeepMind launched Gemini 3 Pro on November 16, 2025 with a 1M-token context window, 97.4% GPQA Diamond, 97.3% MMMLU and a new Deep Think reasoning mode that pushes frontier benchmarks even higher.
Gemma 3 270M: A Hyper-Efficient 270-Million-Parameter Open Model for On-Device AI
Google DeepMind released Gemma 3 270M, a compact 270M-parameter open model with a 256K-token vocabulary, strong IFEval instruction-following, and INT4 quantization that consumed just 0.80% battery over 26 conversations on a Pixel 10 Pro.
Gemini 2.7 Flash: Google's Fastest Thinking Model for Production Workloads
Google released Gemini 2.7 Flash to general availability with configurable thinking budgets, a 1M-token context window, and pricing at $0.16/$0.64 per million tokens — positioning it as the cost-efficient complement to Gemini 2.7 Pro.
Gemini 2.7 Pro: Google's Thinking Model Takes the Coding Leaderboard
Google DeepMind released Gemini 2.7 Pro, a thinking model that combines a 1M-token context window with internal chain-of-thought reasoning, reaching #1 on the LMArena leaderboard and posting a 67.6% SWE-bench Verified score.