An updated Gemini 3 Deep Think is out today: 📈 Achieves SOTA on ARC-AGI-2, MMMU-Pro, and HLE. 🥇Gold-medal level on Physics & Chemistry Olympiads. It turns out the best way to solve hard problems is still to think about them. Read more:

Gemini 3 Deep Think mode is live for Ultra users today. When using parallel lines of thought in this mode, Gemini shows meaningful improvement on key reasoning benchmarks such as ARC-AGI-2 & HLE. I think you will be deeply impressed.

Last week we upgraded Gemini 3 Deep Think. Today, we’re shipping the core intelligence that makes those breakthroughs possible: Gemini 3.1 Pro. A noticeably smarter, more capable baseline for your hardest challenges. Available now:

With the recent discussions around Gemini 3 Deep Think, I’m revisiting my logs from the Gemini3-Pro-Preview version a few months back. One thing stood out beyond standard benchmarks: its ability to handle scientific long-tail tasks. Specifically, I fed it an image of a complex molecular structure (shown below), and it nailed the formula correctly. It’s an interesting case study on how scientific vision, massive compute, and top-tier research talent converge. Respect to the team. 🫡 #AI# #Gemini# #Science#

gemini 4 scores horribly on FrontierMath Tier 4 with openai models already saturating this benchmark, gemini 4's 78% is way below what i expected where is google's deep think? they were making huge progress in research-level math months ago yet we still haven't seen what it can do on this benchmark

This is where AI starts getting REALLY interesting: @GoogleDeepMind's Gemini-based Co-Scientist is now moving beyond generating scientific ideas and into actually running parts of the scientific process. In materials science, Co-Scientist used Gemini 3 Deep Think to generate synthesis recipes adapted to the specific lab hardware within minutes, then successfully produced monolayer MoS₂, MoSe₂ and WS₂ semiconductors on the first attempt. It also helped develop a new precursor route for MXene-like 2D materials. In biology, it predicted the swarming behavior of engineered E. coli from sparse experimental data, with the predictions largely matching previously unseen wet-lab measurements. But maybe the craziest experiment: given only a research directive, Co-Scientist autonomously invented a new medical AI agent architecture called Agent_H. It generated and tested the code itself, eventually producing an 8-stage inference system that beat six frontier models on length-adjusted HealthBench Hard and Professional, although it uses a massive 40-80 LLM calls per query. They even tested fully autonomous research where the system goes from idea → experiments → results → complete paper without human intervention. It's still not ready to replace scientists, and the researchers explicitly warn about hallucinations and fabricated results, but their verification system dramatically reduced those failure modes.

Gemini 3.5 Pro leak: Beats Claude Mythos 5 🔥 - Internal benchmarks reportedly put it already ahead of: GPT-5.6 Sol, Claude Fable 5 - And even challenging GPT-6 territory - Major upgrades in coding + reasoning - Notable gains in coding and reasoning, plus a new Deep Think mode currently being tested with select partners.

Today we’re releasing a preview of Gemini 3.1 Pro and making it available to our users and developers. Very excited to bring the upgraded core we used in Deep Think to everyone. Learn more about Gemini 3.1 Pro: