Google introduces Gemini 4 Argon for complex coding and agent tasks
Google says Argon (Gemini 4) tackles complex coding and agent problems such as legacy Chromium code and Gemma speedups, and is taking applications for free high-quota access from researchers and cyber defenders.
From untangling legacy Chromium code to speeding up our @GoogleGemma models, Argon is built to solve highly complex coding and agentic problems at Google and beyond. We’re also opening applications for researchers and cyber defenders: 🔹 Scientists & researchers: Apply for a chance to get @Antigravity’s highest usage tier free for 6 months (subject to eligibility & selection) → http://goo.gle/4z0OCrZ 🔹 Cybersecurity defenders: Apply to join the Fairwind Program → http://goo.gle/3TUNMOj Learn more about Gemini 4 Argon ↓ http://goo.gle/4jfSznG
Gemini 4 Argon is also speeding up our @GoogleGemma open models — making them nearly three times as fast. In just a few days, Argon optimized Gemma 4 E2B to achieve a 2.85x inference speedup on an A100 via vLLM, jumping from ~37,900 to over 108,000 tokens per second with 100% token parity and zero quality drop. Here’s that speedup in action, generating 64 live Python simulations at once ↓ https://x.com/osanseviero/status/2110096066293207535/video/1
Software engineers at Google using Argon in @Antigravity are shipping high-quality code faster than ever. Over the past few weeks, agentic code submissions increased by more than 35% — while cutting code rollbacks by nearly a third. Read more about the impact of Gemini 4 Argon in Google Antigravity → http://goo.gle/4hPJbGo
In @GoogleChrome, Gemini 4 Argon helped our team separate core webpage handling from a 6-million-line legacy folder of browser features in Chromium’s 40-million-line codebase — completing months of work in just weeks. The result for Chrome's billions of users: eliminating an entire category of browser crashes, and letting live webpages move fluidly between tabs, side panels, and floating windows without reloading.
Teams across Google put Gemini 4 Argon to work on our hardest engineering problems. Here’s what happened 🧵
For Google's open-source Agent Development Kit (ADK), the team gave Argon a skills rulebook and one goal: eliminate framework overhead without breaking existing apps. Working autonomously overnight, Argon surfaced optimizations that cut in-memory session prep time by 40% in long sessions and sped up cold imports by 21%. See it live in google/adk-python → http://goo.gle/4eAtLDA