Google announces Gemini 4 Argon AI model, but you can't use it yet
Google announced Gemini 4 Argon, a frontier model not yet public, claiming leading coding and cybersecurity scores.
Google announced Gemini 4 Argon, a frontier model it says leads in coding, knowledge work, and cybersecurity, but public access is not open yet. On DeepSWE v1.1, Argon scored 77.9 percent, above GPT-6 Astra, Fable 5.1, and Opus 5.5, and Google also cites a leading Vals Index result. Internal Argon agents reportedly freed 300 TiB of data-center memory and are migrating C and C++ to Rust, including more than 800,000 lines in the Fuchsia Zircon kernel. Output length rises to 1 million tokens from 64,000; API pricing has not been announced.
- Public access is closed; Google engineers are already using Argon internally.
- DeepSWE v1.1 score is 77.9%, above GPT-6 Astra, Fable 5.1, and Opus 5.5.
- Maximum output grows from 64,000 tokens to 1 million tokens.
- Agents reportedly saved 300 TiB and ported large Google C/C++ code to Rust.
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Google promised Gemini 3.5 Pro back 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 put Gemini 4 to the test, Google says engineers inside the company are already making extensive use of the new model. 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.
Google has also come armed with a raft of benchmarks to back up its claims. On the software engineering DeepSWE v1.1 benchmark, Gemini 4 Argon hits 77.9 percent, which is higher than GPT-6 Astra, Fable 5.1, and Opus 5.5. Google promises similar power across a range of long-horizon tasks, pointing to Argon’s industry-leading score in the economic analysis Vals Index test.
Since this model is still in limited testing, Google has not announced API pricing yet. The company has, however, confirmed that Gemini 4 Argon will support a much higher output limit of 1 million tokens. That’s up from 64,000 tokens in previous Gemini models. Google says this allows users to complete more daunting tasks in a single step.
Text extracted automatically; images, tables and formatting may be missing. Original: https://arstechnica.com/google/2026/09/google-announces-gemini-4-argon-ai-model-but-you-cant-use-it-yet/