DeepLearning.AI(@DeepLearningAI)

1/ 📰Missed a few days of AI news? Here's what happened in this week's Data Points 👇 2/ 🪶Claude H...

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TL;DR · AI 摘要

汇总AI领域近期重要动态：Claude模型降价90%、微软发布决策模型、Meta新模型上线、Python 3.10停更，工程师需关注技术选型变化。

核心要点

  • Claude Haiku 5.5推理成本降低至每百万token 0.10美元，较前代下降90%
  • 微软决策模型Microsoft-Decision-1输入成本0.042美元/百万token，输出免费
  • Python 3.10于2026年10月停止支持，建议升级至3.11或3.15

结构提纲

按章节快速跳转。

  1. §引言

    汇总本周AI领域关键动态，涵盖模型更新、价格调整和开发工具变化。

  2. ·Claude Haiku 5.5更新

    推理成本降低90%，适用于长文本处理场景。

  3. ·微软决策模型

    新型分类模型成本降低至0.042美元/百万token，输出免费。

  4. ·Meta Muse Wonder

    性能对标GPT-4，成本4美元/百万token，暂无安全报告。

  5. ·Gemini 4 Argon发布

    支持100万token输出，首月输入/输出定价2美元/百万token。

  6. ·Python版本更新

    3.15发布并结束3.10支持，建议升级至兼容版本。

思维导图

用一张图看清主题之间的关系。

查看大纲文本（无障碍 / 无 JS 友好）
  • AI领域近期动态
    • 模型更新
      • Claude Haiku 5.5（价格下降90%）
      • Microsoft-Decision-1（决策模型）
      • Meta Muse Wonder（对标GPT-4）
      • Gemini 4 Argon（100万token输出）
    • 开发工具
      • Python 3.15发布
      • Python 3.10停更

金句 / Highlights

值得收藏与分享的关键句。

#AI模型#价格策略#Python#微软#Anthropic
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DeepLearning.AI on X: "1/ 📰Missed a few days of AI news? Here's what happened in this week's Data Points 👇 2/ 🪶Claude Haiku 5.5: $0.10/$0.50 per million tokens for prompts up to 100K, ~90% cheaper than Haiku 4.5. Super fast and highly capable. 3/ 🎯Microsoft-Decision-1: calibrated probabilities… / X

DeepLearning.AI

@DeepLearningAI

1/ 📰Missed a few days of AI news? Here's what happened in this week's Data Points 👇 2/ 🪶Claude Haiku 5.5: $0.10/$0.50 per million tokens for prompts up to 100K, ~90% cheaper than Haiku 4.5. Super fast and highly capable. 3/ 🎯Microsoft-Decision-1: calibrated probabilities over fixed options in one pass. Built for classification, routing, agent gating. This decision model costs $0.042 per million input tokens, and output is free. Check independent benchmarks to compare it with Jev and other decision models. 4/ 🔌Meta's Muse Wonder: Comparable with top models from Google and OpenAI, costs $4/$20 per million tokens. No full safety report yet. 5/ 📄Gemini 4 Argon: the official wide release has a 1M token output limit, up from 64K. Input and output share the window. $2/$10 intro pricing (per million tokens of input/output) until Nov 30. 6/ 🐍Python 3.15 is out, but 3.10 is end of life. Update your projects to support the new features where you can (3.11 remains a good backwards-compatible option). 7/ 📬Subscribe to our Data Points newsletter for authoritative, short-form, real-time AI news:

deeplearning.ai/the-batch/tag/…

#DeepLearningAI

#AIEngineering

#Python

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12:10 AM · Oct 16, 2026

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