Gemini 4 Argon 开放使用，支持最高约 100 万 token 输出Chinese only
Gemini 4 Argon 已面向全球开发者和企业开放，可通过 AI Studio 和 Gemini 平台 API 使用；部分 Google AI Ultra 和 Pro 订阅用户也可在相关产品中使用。其输入、思考与输出共用约 100 万 token 的上下文窗口。限时入门价为每百万输入 token 2 美元、输出 token 10 美元，11 月 30 日促销结束后分别涨至 4 美元和 20 美元。
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Event developments 2
Gemini 4 Argon Becomes Available With Output of Up to About 1 Million Tokens
Gemini 4 Argon is available to developers and businesses worldwide through AI Studio and the Gemini platform API; eligible Google AI Ultra and Pro subscribers can also use it in supported products. Input, reasoning and output share a context window of about 1 million tokens. Introductory prices are $2 per million input tokens and $10 per million output tokens, rising to $4 and $20 after the promotion ends on November 30.
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Google begins limited rollout of Gemini 4 Argon amid internal doubts about coding performance
Google has begun rolling out its flagship Gemini 4 Argon model to a small group of vetted cybersecurity partners, with plans to expand access after further testing, prioritizing paid subscribers. Google says the model scores highly on benchmarks, but Bloomberg reports that employees involved in the project found it struggled with some real-world coding tasks. Google disputes that account.
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All reports 2
Gemini 4 Argon Becomes Available With Output of Up to About 1 Million Tokens
Gemini 4 Argon is available to developers and businesses worldwide through AI Studio and the Gemini platform API; eligible Google AI Ultra and Pro subscribers can also use it in supported products. Input, reasoning and output share a context window of about 1 million tokens. Introductory prices are $2 per million input tokens and $10 per million output tokens, rising to $4 and $20 after the promotion ends on November 30.
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- IT之家 科技新闻
Google begins limited rollout of Gemini 4 Argon amid internal doubts about coding performance
Google has begun rolling out its flagship Gemini 4 Argon model to a small group of vetted cybersecurity partners, with plans to expand access after further testing, prioritizing paid subscribers. Google says the model scores highly on benchmarks, but Bloomberg reports that employees involved in the project found it struggled with some real-world coding tasks. Google disputes that account.
1 more source reported this
- IT之家 科技新闻