Ahead of I/O, we’re releasing an updated Gemini 2.5 Pro! It’s now #1 on WebDevArena leaderboard, breaking the 1400 ELO barrier! 🥇. Our most advanced coding model yet, with stronger performance on code transformation & editing. Excited to build drastic agents on top of this!

good trajectory++ ⭐️🍿

"A Neural Conversational Model" is 10 years old, w/ @quocleix . TL;DR you can train a chatbot with a large neural network (~500M params!). Samples 👇. This paper was received with mixed reviews, but I'm glad all the critics are now riding the LLM wave 🌊

Hello Gemini 2.5 Flash-Lite! So fast, it codes *each screen* on the fly (Neural OS concept 👇). The frontier isn't always about large models and beating benchmarks. In this case, a super fast & good model can unlock drastic use cases. Read more:

Introducing the new Gemini 2.5 Pro preview, with a +24 LMArena Elo score over its predecessor! 📈 It leads on tough coding (AIME, AIDER), science (GPQA), and reasoning (HLE). Style/structure have improved thanks to your feedback. Learn more:.

Cool benchmark! Good to see Gemini 2.5 topping another leaderboard, though we are quite far from the summit 😅🪜🏔️.

RT @HashemGhaili: Prompt Theory (Made with Veo 3). What if AI-generated characters refused to believe they were AI-generated? https://t.co/….

RT @lmthang: As highlighted yesterday at #GoogleIO, Gemini 2.5 Pro with #DeepThink mode achieved a new state-of-the-art performance of 49.4….

Because we're defining the frontier with Deep Think, we're taking extra care. This includes first getting input from safety experts and trusted testers🛡️ via the Gemini API to gather crucial feedback before wider release.

Deep Think uses new techniques, allowing the model to consider multiple hypotheses before responding. It's not just about math; it also gets an impressive score on LiveCodeBench 💻, MMMU & more!. Learn more:

Yesterday at #GoogleIO, we introduced Gemini 2.5 Pro Deep Think 🧠, pushing the frontiers of AI reasoning. This enhanced reasoning mode is built to tackle drastically complex problems – like USAMO problems that stumped previous models. Super proud of the GDM team for this one!

Ultimate AGI benchmark: humor!.

Spaghetti benchmark.

Veo2 was already SOTA, but Veo3 is something else! Been having a blast playing with it, and loving all the creativity now that it's out (more in 🧵). Me walking to I/O thinking about Gemini3, Veo4, .

Today we introduced Gemini Diffusion⚡️ (& DeepThink, Veo3, Imagen4, 2.5 updates. ). It's been a dream of mine to remove the need for "left to right" text generation. It's so fast, that we had to *slow down* the video during the presentation.

We may be delaying AGI if we keep playing this game, but OK! I used Copy Canvas and here is my addition to the Cartographer. Coding this in two sentences. drastic & wild times! @NoamShazeer I nominate you : ).

With this update, you can create even more complex web apps from a single prompt. See a side by side (new vs old 2.5 Pro) on building interactive learning apps from YouTube videos. Try the new Gemini 2.5 Pro in AI Studio, Vertex AI, Gemini app & Canvas.

For some benchmarks & analysis:

It's not only about how long your context is, but how well you use it. Great to see Gemini 2.5 models dominating MRCR and other benchmarks on long context!. See 2.5 Pro tackle a complex coding task by reasoning over an entire repo (>500k tokens). Performance and effective use of

We are blown away by the reception of Gemini 2.5 Pro, and the many positive surprises from benchmarks and community evaluations. That is the ultimate leaderboard!.