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Google DeepMind 发布 Gemini 4 Argon 模型,定价具有竞争力

Google DeepMind 发布了其新的 Gemini 4 Argon 模型,可通过 Gemini API 和每月 100 美元的订阅计划访问。初始定价为每百万输入 2 美元,每百万输出 10 美元,该成本将于 12 月 1 日翻倍。Artificial Analysis 的早期基准测试表明,Gemini 4 Argon 在运行基准测试方面具有成本效益,成本为 2,407 美元,与 GLM 5.3 等其他领先模型相比具有竞争力,并且比 OpenAI、Anthropic 和 Meta 的产品便宜得多。 AI

影响 为模型推理的成本效益设定了新的基准,可能影响整个行业的定价策略。

排序理由 来自前沿实验室(Google DeepMind)的新模型发布。[lever_c_demoted from frontier_release: ic=1 ai=1.0]

在 Simon Willison 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

Google DeepMind 发布 Gemini 4 Argon 模型,定价具有竞争力

本文如何被排名

Signal score
3 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Significant
来自前沿实验室(Google DeepMind)的新模型发布。[lever_c_demoted from frontier_release: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, product
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Same-day
Cluster formed today. Ranking reflects the current source set at time of score.

完整方法见我们的编辑标准。

报道来源 [1]

  1. Simon Willison TIER_1 Türkçe(TR) ·

    llm-gemini 0.35

    <p><strong>Release:</strong> <a href="https://github.com/simonw/llm-gemini/releases/tag/0.35">llm-gemini 0.35</a></p> <p>I added support to <a href="https://github.com/simonw/llm-gemini">llm-gemini</a> for the <a href="https://blog.google/innovation-and-ai/models-and-research/gem…