Google DeepMind 发布 Gemini 4 Argon，单次输出可达 1M tokens
Google DeepMind Unveils Gemini 4 Argon with 1M Output Tokens for Coding, Knowledge Work and Cyber Defense - MarkTechPost
Google DeepMind 发布 Gemini 4 代首款前沿模型 Gemini 4 Argon，面向长周期软件工程、法律金融等企业知识工作与网络安全防御，单次响应最多可生成 1M tokens，此前 Gemini 模型为 64K。定价为介绍期每 1M 输入 tokens 2 美元、输出 10 美元，缓存输入享 95% 折扣即 0.10 美元，介绍期后升至输入 4 美元、输出 20 美元，Logan Kilpatrick 确认了介绍期价格。Google 采取分阶段发布，参与美国政府预发布模型访问的自愿流程，先收集早期测试者反馈并迭代防护措施；Argon 在 18 项基准中 12 项领先、1 项并列第一，CWE-bench v1 上以 68% 并列第一，Wiz 已通过 Scan for Good 用它发现一处此前前沿模型漏掉的医疗软件严重漏洞。
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Gemini 4 Argon 把单次输出上限从 64K 提到 1M，并公开了分阶段发布与定价，读者可据此判断长任务成本。
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Google DeepMind has just announced Gemini 4 Argon , its new frontier model and the first model of the Gemini 4 generation. It targets long-horizon software engineering, enterprise knowledge work in legal and finance, and cybersecurity defense. The biggest technical change is output length. Argon can generate up to 1M tokens in a single response, up from 64K on earlier Gemini models.
Google DeepMind described Argon as built for complex workflows across coding, enterprise knowledge work and cybersecurity defense.
Google is taking a phased approach. It is participating in the U.S. government’s voluntary process for pre-release model access. It will gather feedback from early testers and iterate on guardrails before a wider release.
Pricing is already public. Argon launches at an introductory $2 per 1M input tokens and $10 per 1M output tokens. Cached input tokens get a 95% discount, which works out to $0.10 per 1M. After the introductory period, pricing moves to $4 input and $20 output. Logan Kilpatrick confirmed the introductory $2 in and $10 out pricing.
Current frontier APIs cap a single response far lower. Claude Opus 5.5 , Claude Fable 5.1 and GPT-6 Astra each allow 128K output tokens.
Google team states that Argon can think deeply and generate hundreds of thousands of tokens in one trajectory. For developers, that means large refactors or long reports without splitting work across turns. The cost is real, though. A full 1M output tokens costs $10 at introductory pricing and $20 after.
Google has not disclosed Argon’s input context window.
Google compared Argon against GPT-6 Astra, Claude Opus 5.5 and Claude Fable 5.1. Argon leads outright on 12 of 18 benchmarks and ties for first on 1.
Where it leads:
Where it trails:
Artificial Analysis reported that Argon equals GPT-6 Astra on its Intelligence Index at 60% of the cost per task, using discounted prices.
Google trained Argon to autonomously find, validate and patch critical software vulnerabilities. Trusted defenders and internal Google teams receive it without cyber guardrails.
On CWE-bench v1 , which tests vulnerability remediation, Argon ties for first at 68%. The rival models on that leaderboard run inside their own agent harnesses.
Wiz is already using Argon through its Scan for Good initiative. The model found a critical vulnerability in healthcare software used by hospitals worldwide. Google says previous frontier models had missed it.
Before broad release, Google is strengthening safeguards in 4 areas:
Thousands of Googlers already use Argon. Google shared 4 internal results:
Sources: Google , Anthropic Opus pricing , Anthropic Fable 5.1 docs , OpenAI GPT-6 Astra docs , OpenRouter . Benchmark scores are from Google’s published comparison. GPT-6 Astra prices are its short-context tier.