Think you know Gemini? 🤔 Think again. Meet Gemini 2.5: our most intelligent model 💡 The first release is Pro Experimental, which is state-of-the-art across many benchmarks - meaning it can handle complex problems and give more accurate responses. Try it now →

BREAKING: Gemini 2.5 Pro is now #1 on the Arena leaderboard - the largest score jump ever (+40 pts vs Grok-3/GPT-4.5)! 🏆 Tested under codename "nebula"🌌, Gemini 2.5 Pro ranked #1🥇 across ALL categories and UNIQUELY #1 in Math, Creative Writing, Instruction Following, Longer

Finally out! Most intelligent AI model. Let us know your thoughts

Love to see Google Gemini 2.5 Pro experimental being the #1 on LiveBench and by quite some margin :) livebench.ai/#/

Gemini 2.5 Pro is now available for everyone to try at gemini.google.com Also available at aistudio.google.com

Sharing our poster ICLR 2026! Please stop by poster if you're interested 😊 Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA 📍 Hall 3 + Hall 2B, Poster #262 🗓️ Saturday, April 26, 10:00 a.m. — 12:30 p.m.

🚨Breaking: Google DeepMind’s latest Gemini-2.5-Pro is now ranked #1 across all LMArena leaderboards 🏆 Highlights: - #1 in all text arenas (Coding, Style Control, Creative Writing, etc) - #1 on the Vision leaderboard with a ~70 pts lead! - #1 on WebDev Arena, surpassing Claude

Having a deep think...

There was a lot of announcements at IO, easy to overlook the new 2.5 Flash. It's pushing new boundaries in capability vs speed!

Eevee is my fav pokemon.

Google DeepMind just dropped this new LLM model architecture called Mixture-of-Recursions. It gets 2x inference speed, reduced training FLOPs and ~50% reduced KV cache memory. Really interesting read. Has potential to be a Transformers killer.

Thanks for sharing our work, Deedy MoR is a new arch that upgrades Recursive Transformers and Early-Exiting algorithms. Simple pretraining with router, and faster inference speed and lower KV caches! Post for details and codes will be released very soon. Stay tuned! ☺️

📄 New Paper Alert! ✨ 🚀Mixture of Recursions (MoR): Smaller models • Higher accuracy • Greater throughput Across 135 M–1.7 B params, MoR carves a new Pareto frontier: equal training FLOPs yet lower perplexity, higher few‑shot accuracy, and more than 2x throughput.

An advanced version of Gemini with Deep Think has officially achieved gold medal-level performance at the International Mathematical Olympiad. 🥇 It solved 5️⃣ out of 6️⃣ exceptionally difficult problems, involving algebra, combinatorics, geometry and number theory. Here’s how 🧵

Very excited to share that an advanced version of Gemini Deep Think is the first to have achieved gold-medal level in the International Mathematical Olympiad! 🏆, solving five out of six problems perfectly, as verified by the IMO organizers! It’s been a wild run to lead this

Official results are in - Gemini achieved gold-medal level in the International Mathematical Olympiad! 🏆 An advanced version was able to solve 5 out of 6 problems. Incredible progress - huge congrats to Thang Luong and the team! deepmind.google/discover/blog/…

We achieved gold medal-level IMO score with an advanced Gemini model that is fast enough to solve hard reasoning problems within the competition time limit. Honored to have had the chance to collaborate with the GDM DeepThink Math team and contribute to this huge milestone!

Gemini Deep Think IMO 👀 It is one of the first models which I am testing extensively b/c it is very fun to play with. "Cyberpunk nuclear reactor control interface"