Google just released gemini-4-argon in Google AI Studio, Vertex AI, and Antigravity. Instead of just generating code snippets, Argon is built to run multi-step engineering workflows from start to finish without losing the plot.
What developers need to know:
Massive 1M Token Output: It features a unified 1,048,576-token context window (text, image, audio, video, PDF) and supports long decode up to 1M output tokens in a single response.
Battle-Tested on Giant Codebases: Google used Argon to untangle a 6-million-line legacy folder inside Chromium’s 40M-line repo in weeks—eliminating an entire class of tab-moving browser crashes.
Autonomous Overnight Optimization: Given a one-paragraph goal, Argon worked overnight on google/adk-python to cut in-memory session prep time by 40% and cold imports by 21%.
Built-In Cyber Defense: Ties for #1 on CWE-Bench v1 (68%) for patching vulnerabilities and cuts indirect prompt injection success down to 0.7%.
Intro Pricing: $2 / 1M input tokens and $10 / 1M output tokens (95% off cached inputs) through November 30, 2026.
What is the biggest legacy refactor on your backlog that you would hand off to an autonomous agent right now?
Gemini 4 Argon: Built to solve your hardest problems by Koray Kavukcuoglu / Google – https://blog.google/innovation-and-ai/models-and-research/gemini-models/introducing-gemini-4-argon/
Gemini 4 Argon available on Google Cloud, built to help solve your business' hardest problems by Michael Gerstenhaber / Google Cloud – https://cloud.google.com/blog/products/ai-machine-learning/gemini-4-argon-available-on-google-cloud
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