Claude Haiku 5.5 降价 90%，微软发布决策模型 Decision-1
1/ 📰Missed a few days of AI news? Here's what happened in this week's Data Points 👇 2/ 🪶Claude H...
这期周报把几条定价信息都列清楚了：Haiku 5.5 便宜九成，Decision-1 输出还免费，做路由分类的可以对比下。
Claude Haiku 5.5 定价为每百万 token 输入 $0.10、输出 $0.50（100K 以内），比 Haiku 4.5 便宜约 90%。微软推出 Decision-1 决策模型，单次前向输出校准概率，输入 $0.042/百万 token、输出免费，面向分类、路由和智能体门控场景。Meta 的 Muse Wonder 定价 $4/$20 每百万 token，官方称可与 Google 和 OpenAI 顶级模型对比。Gemini 4 Argon 正式版输出上限升至 1M token，11 月 30 日前输入/输出 intro 价为 $2/$10。Python 3.15 发布，3.10 已停止维护。
1/ 📰Missed a few days of AI news? Here's what happened in this week's Data Points 👇 2/ 🪶Claude H...
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 A deeplearning.ai/the-batch/tag/… hl #DeepLearningAI a #AIEngineering i #Python #Python Your browser does not support the video tag. 🔗 View on Twitter 💬 2 🔄 2 ❤️ 7 👀 722 📊 3 ⚡
