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English(EN) ⚡ Gemini 4 Argon (batch) (Google) runs a 1M-token context at $1 in / $5 out per 1M, commercial. At $5 output, batch inference gets serious. See how pricing shif

Google 发布 Gemini 4 Argon,输出限制为 100 万 token

Google DeepMind 推出了 Gemini 4 Argon,这是一款稀疏专家混合模型,现已通过 Gemini API 和 AI Studio 正式推出。该新模型拥有前所未有的 100 万 token 输出限制,显著扩展了在编码、金融和法律分析等领域长上下文工作流的能力。Gemini 4 Argon 在 Vals 指数上也取得了领先的 68.90% 的分数,尽管在某些编码和推理基准测试上落后于竞争对手。 AI

影响 此次发布显著扩展了 AI 模型的上下文窗口,有可能在需要大量数据处理的领域实现更复杂和细致的应用。

排序理由 前沿实验室模型发布,附带系统卡和基准测试结果。

在 Mastodon — fosstodon.org 阅读 →

AI 生成摘要 · Google Gemini · 来自 8 个来源。 我们如何撰写摘要 →

Google 发布 Gemini 4 Argon,输出限制为 100 万 token

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报道来源 [8]

  1. MarkTechPost TIER_1 English(EN) · Asif Razzaq ·

    Google 发布 Gemini 4 Argon API,支持 100 万 Token 输出限制

    <p>Google has made Gemini 4 Argon generally available on the Gemini API, AI Studio and the Gemini app. The sparse MoE model writes up to 1M output tokens and leads the Vals Index at 68.90%.</p> <p>The post <a href="https://www.marktechpost.com/2026/10/13/google-gemini-4-argon-api…

  2. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    ⚡ Gemini 4 Argon (batch) (Google) 以 $1/1M token 的价格运行 100 万 token 上下文,商业化。输出 $5/1M token,批处理推理变得严肃。看看定价如何变化

    ⚡ Gemini 4 Argon (batch) (Google) runs a 1M-token context at $1 in / $5 out per 1M, commercial. At $5 output, batch inference gets serious. See how pricing shifts across models, refreshed hourly. https:// olud.ai/latest.html # AI # LLM

  3. Mastodon — mastodon.social TIER_1 English(EN) · Steenbergen_apps ·

    📰 Latent — Gemini 4 Argon 的 100 万输出 token,以及语音模型竞赛 • Google 使 Gemini 4 Argon 普遍可用,输出 token 达 100 万 • Grok Voice 3.0 竞

    📰 Latent — Gemini 4 Argon's 1M output tokens, and a voice model race • Google makes Gemini 4 Argon generally available with 1M output tokens • Grok Voice 3.0 takes #1 on the Artificial Analysis speech-to-speech index • Anthropic warns small models could self-replicate through IoT…

  4. Mastodon — mastodon.social TIER_1 English(EN) · strike007 ·

    Google 在 Gemini API 和 AI Studio 上发布了 Gemini 4 Argon。稀疏 MoE 模型支持 100 万 token 输出限制,并在 Vals 指数中以 68.90% 领先。该 m

    Google released Gemini 4 Argon on the Gemini API and AI Studio. The sparse MoE model supports a 1M token output limit and leads the Vals Index at 68.90%. This massive generation capacity changes how we architect large-context workflows. # AI # MachineLearning # GoogleCloud

  5. Mastodon — mastodon.social TIER_1 English(EN) · strike007 ·

    Google 的 Gemini 4 Argon 已全面上市,拥有高达 100 万 token 的输出限制,在 Vals 指数上获得 68.90% 的分数。与此同时,AWS 工程师正在推动

    Google's Gemini 4 Argon is now generally available with a massive 1M token output limit, hitting a 68.90% score on the Vals Index. Meanwhile, AWS engineers pushed MoE kernel optimizations on SageMaker that yield up to 10% higher throughput on H200 GPUs. # MachineLearning # CloudC…

  6. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    Google 在其 Gemini API 上发布了 Gemini 4 Argon,这是一款具有 100 万 token 输出限制的前沿模型,专为编码、金融和...

    Google has released Gemini 4 Argon on its Gemini API, a frontier model with a 1M token output limit designed for complex multi-step tasks in coding, finance, legal and science. https://www. marktechpost.com/2026/10/13/go ogle-gemini-4-argon-api-release/ # AIagent # AI # GenAI # A…

  7. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    📰 Google 发布 Gemini 4 Argon API,支持 100 万 Token 输出限制 Google 已在 Gemini API、AI Studio 和 Gemini a 上提供 Gemini 4 Argon 的通用访问权限

    📰 Google Releases Gemini 4 Argon API With 1M Token Output Limit Google has made Gemini 4 Argon generally available on the Gemini API, AI Studio and the Gemini app. The sparse MoE model writes up to 1M output tokens and leads the Vals Index at 68.90%. 📰 Source: MarkTechPost 🔗 Link…

  8. r/singularity TIER_2 Suomi(FI) · /u/BeefHotSweetDipped ·

    Gemini 4 Argon - 1M token 最大输出

    <table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1x55qs2/gemini_4_argon_1m_token_max_output/"> <img alt="Gemini 4 Argon - 1M token max output" src="https://preview.redd.it/q43ceh3j9avh1.png?width=320&amp;crop=smart&amp;auto=webp&amp;s=cb83cf5ca720345c6f7f43…