Google 发布 Gemini 4 Argon,token 定价约为主要竞品五分之一
Google finally releases Gemini 4 Argon
- 1Google 发布 Gemini 4 Argon,称其具备前沿推理与复杂工作流性能,减少对冲、重复和套话
- 2官方称其在编程、网络安全、科学、金融、法律等基准上胜过 GPT-6 Astra 和 Claude 两款模型
- 3introductory 定价为输入 $2、输出 $10 每百万 tokens,约为竞品五分之一,11 月底结束后翻倍
- 4今日起面向 Gemini 应用、Search AI 模式的 Pro 和 Ultra 订户开放,Plus 与免费用户时间未定
Google 用约为竞品五分之一的 token 定价重返前沿模型竞争,这件事的实质更接近以价格换份额,而不只是能力追平。
- 影响:前沿模型 token 单价出现约为竞品五分之一的新参照,重度调用场景的 API 预算需要重算;官方基准优势未经独立评测,选型对比不能只看厂商口径;开放范围限于 Pro、Ultra 高阶订户,Plus 和免费用户尚不可用。
- 参考:可考虑用自有业务任务把 Argon 与现有模型做同题对比,按实际 token 消耗折算总成本而非只看单价;值得记下 11 月底 introductory 期结束后的翻倍价格,再决定是否迁移关键工作流。
- 依据:基准领先、内部算力节省和内部安全修补均出自 Google 官方口径,暂无独立验证;五分之一定价为官方公布,原文同时提示 token 单价低不必然等于实际总成本低。
After months sitting on the sidelines of the frontier AI race, Google has finally launched its long-awaited Gemini 4 Argon model, claiming it can compete with the best the industry has to offer.
Google says Argon delivers “frontier reasoning and improved performance across complex workflows,” while cutting down on hedging, repetition, and the cliches that continue to plague AI chatbots. The company claims Argon outperforms rival models like GPT-6 Astra, Claude Fable 5.1, and Claude Opus 5.5 across a range of benchmarks, including coding, cybersecurity, science, finance, and law.
Google says it’s already putting Argon to use internally, such as finding and patching cybersecurity vulnerabilities, halving the computing power needed to power YouTube’s comments section, and debugging the drone physics simulator for Alphabet’s drone delivery company Wing.
The model is rolling out today to Google’s higher-tier Pro and Ultra subscribers in the Gemini app and AI mode in Search, as well to Ultra subscribers on its agentic development platform Antigravity. It is not clear when — or if — Argon will be available to Plus subscribers or free users.
Google is pricing Argon very competitively. The model is launching with an introductory price of $2 per million input tokens and $10 per million output tokens, around a fifth the cost of OpenAI’s GPT-6 Astra and Anthropic’s Fable 5 models. Even after those costs double at the end November — when the introductory period finishes — Argon will still be significantly cheaper than its frontier rivals on a per-token basis, though this doesn’t necessarily translate to lower costs in practice, as models can use different numbers of tokens for the same tasks.
The launch fills in some of the blanks left behind from when Google first teased Argon a few weeks ago. In line with other recent frontier model releases, the public rollout follows a limited release to a select set of “trusted cyber defenders” to be tested for potential risks.
Argon is Google’s first major frontier release since Gemini 3 in late 2025. In the intervening months, impressive models from Anthropic and OpenAI have seen Google trail far behind its rivals. Seismic internal shakeups raised further doubts about the company’s ability — or desire — to reclaim its position and compete at the frontier of AI.
But Argon’s arrival suggests we can’t count Google out of the AI race just yet. Landing just a day after Meta announced its own frontier model, Muse Wonder Full, Argon is a reminder of how quickly the balance of power can shift in AI, and that the frontier is far from a two-horse race.
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- Robert Hart
来源:The Verge · AI · theverge.com