Google Unveils Gemini 4 Argon AI Model in Limited Testing
Google announced Gemini 4 Argon, claiming industry-leading performance in coding, knowledge work, and cybersecurity. It remains in limited testing.
Google has announced Gemini 4 Argon, a new AI model that the company says delivers industry-leading performance in coding, knowledge work, and cybersecurity. The model is not yet publicly available and remains in limited testing.
According to Google, engineers inside the company are already using Gemini 4 Argon extensively. The company also says Argon used fleet-wide telemetry data to help save 300 TiB of memory across its data centers.
On the DeepSWE v1.1 benchmark, Gemini 4 Argon scores 77.9 percent, higher than GPT-6 Astra, Fable 5.1, and Opus 5.5. Google also points to an industry-leading score in the economic analysis Vals Index test.
Argon agents have been migrating C/C++ codebases to Rust across Google, including thousands of lines in the core re2 and libgav1 libraries and more than 800,000 lines in the Fuchsia OS Zircon kernel.
Google confirmed that Gemini 4 Argon will support an output limit of 1 million tokens, up from 64,000 tokens in previous Gemini models. The company has not announced API pricing for the model.
In June, Google promised Gemini 3.5 Pro, but it spent the summer trotting out smaller Flash models.
Quick answers
Is Gemini 4 Argon publicly available?
No, Gemini 4 Argon is not yet publicly available and remains in limited testing.
What is Gemini 4 Argon's output token limit?
Google confirmed Gemini 4 Argon will support an output limit of 1 million tokens, up from 64,000 tokens in previous Gemini models.
How does Gemini 4 Argon perform on the DeepSWE v1.1 benchmark?
It scores 77.9 percent, higher than GPT-6 Astra, Fable 5.1, and Opus 5.5.