So much for Gemini 3.5 Pro.
Key takeaways
Google has announced Gemini 4 Argon, a new AI model with industry-leading performance in coding, knowledge work, and cybersecurity, but it is not yet available for public use.
- Google claims Gemini 4 Argon offers improved performance in coding, knowledge work, and cybersecurity compared to previous models.
- The model has already been used by Google engineers to migrate codebases and save memory in data centers.
- Gemini 4 Argon will have a higher output limit of 1 million tokens, up from 64,000 in previous models.
- Google is prioritizing cybersecurity testing for the model before making it available to enterprise and consumer customers.
Summarised automatically by AI from the original article by Ars Technica. AI can make mistakes, so check the original for details.
Google promised Gemini 3.5 Pro in June, but it spent the summer trotting out smaller Flash models. Now, Google is ready to take on the frontier again with Gemini 4 Argon. The company claims this new AI offers industry-leading performance in coding, knowledge work, and cybersecurity, but you aren't allowed to use it yet.
While most of us will have to wait to test Gemini 4, Google says engineers inside the company are already using the new model extensively. Argon reportedly used "fleet-wide telemetry data" to help Google save 300 TiB of memory across its data centers. Meanwhile, Argon agents have been working to migrate 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.
