Google 发布 Gemini 4 Argon AI 模型，但暂时还无法使用

Google 曾在 6 月承诺推出 Gemini 3.5 Pro，但整个夏季主要发布的是更小型的 Flash 模型。如今，Google 准备凭借 Gemini 4 Argon再次冲击前沿。该公司称，这款新 AI 在编程、知识工作和网络安全领域提供行业领先的性能，但你目前还无法使用它。

虽然大多数人还得等待才能测试 Gemini 4，但 Google 表示，公司内部的工程师已经在广泛使用这款新模型。据称，Argon 利用“全局遥测数据”，帮助 Google 在其数据中心节省了 300 TiB 内存。与此同时，Argon Agent 一直在协助 Google 范围内将 C/C++ 代码库迁移至 Rust，其中包括核心 re2 和 libgav1 库中的数千行代码，以及 Fuchsia OS Zircon 内核中超过 80 万行代码。

Google 还准备了大量基准测试结果来支撑其说法。在软件工程基准测试 DeepSWE v1.1 中，Gemini 4 Argon 得分达到 77.9%，高于 GPT-6 Astra、Fable 5.1 和 Opus 5.5。Google 承诺，该模型在一系列长周期任务中也能展现类似能力，并指出 Argon 在经济分析测试 Vals Index 中取得了行业领先的分数。

该模型目前仍处于有限测试阶段，但 Google 已公布 API 定价。在限时优惠期间，Argon 的价格将为每百万输入 token 2 美元、每百万输出 token 10 美元，缓存输入 token 可享受 95% 折扣。该公司还确认，Gemini 4 Argon 将支持高达 100 万 token 的输出上限，远高于此前 Gemini 模型的 64,000 token。Google 表示，这使用户能够在单一步骤中完成更具挑战性的任务。

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.

This model is still in limited testing, but Google has announced API pricing. For a limited time, Argon will offer rates of $2 per million input tokens and $10 per million output tokens, and cached input tokens will be discounted 95 percent. The company has also 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.