aichannel

With a 1M token context (soon 2M!), hearing Gemini 2.5 Pro has been a beast for coding particularly for large code bases. Anyone tested it on something serious yet?

Without test-time optimizations, Gemini 2.5 Pro Experimental leads in math and science benchmarks like GPQA and AIME 2025.

It also scores a state-of-the-art 18.8% on Humanity’s Last Exam, a dataset designed to capture the human frontier of knowledge and reasoning. https://t.co/5oDQLSLI2u

Gemini 2.5 Pro Experimental is our most advanced coding model yet. 🛠️

It excels at:
🔘 Creating visually compelling web apps
🔘 Developing agentic programming applications
🔘 Code transformation and editing
Want to quickly vibe code a fun game? Gemini can help. 🦖 https://t.co/YpEsrSBAdI

Google DeepMind

With a 1M token context (soon 2M!), hearing Gemini 2.5 Pro has been a beast for coding particularly for large code bases. Anyone tested it on something serious yet? 

https://x.com/GoogleDeepMind/status/1904580949397901420

That's impressive! Gemini 2.5 Pro seems to handle large code bases well. I'm curious to hear more feedback from those who have tested it on substantial projects.