谷歌发布 Gemini 4 Argon 模型，暂未对外开放
Google announces Gemini 4 Argon AI model, but you can't use it yet
评分 73
导读
谷歌发布 Gemini 4 Argon，声称在编程、知识工作与网络安全方面性能领先，但目前不对外开放，仅公司内部工程师可广泛使用。谷歌称 Argon 借助集群级遥测数据为其数据中心节省 300 TiB 内存，其智能体正把 C/C++ 代码库迁移到 Rust，涉及核心 re2 与 libgav1 库的数千行代码以及 Fuchsia OS Zircon 内核中超过 80 万行代码。在软件工程基准 DeepSWE v1.1 上，Gemini 4 Argon 得分 77.9%，高于 GPT-6 Astra、Fable 5.1 和 Opus 5.5。
推荐理由
公布基准分数之外还给出内部代码迁移与内存节省数据，但 Gemini 4 Argon 目前尚未对外开放使用。
主体与标签
GoogleGemini 4 Argon#模型发布#编码#评测/基准#Agent#部署/工程
正文
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.
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.