一篇读懂 Token 计费:上下文、输入输出与一份成本优化清单
「这个应用每月的模型账单会是多少」——回答这个问题需要真正理解 token 计费的口径:输入输出分价、上下文累积、缓存折扣、以及隐藏的成本大头。本篇拆解计费的完整口径、一笔真实对话的成本拆解、以及按效排序的成本优化清单——把「token 焦虑」变成「token 预算学」。
阅读全文 →
全部文章
ARCHIVE 共 403 条Google rolls out improved SynthID AI content detector, now available globally
Every piece of AI content from Google's Gemini models has a hidden SynthID label, which makes it very difficult to pass …
Google bets Gemini can turn casual players into game developers with new Playground feature
Manuel Uth
Oct 7, 2026
Google launched Playground, a browser-based AI platform that lets adults in the US create their o…
SpecFold: Folding Multi-Branch Redundancy for Faster Speculative Decoding in Diffusion Language Models
Diffusion large language models (DLLMs) generate text through iterative block denoising, and multi-branch speculative de…
Frozen Models, Evolving Expertise: Model-Agnostic Learning from Deployment Experience for Multimodal Medical AI
Large language models (LLMs) and vision-language models (VLMs) are usually frozen after deployment, so they do not learn…
TRACE: Rollout-Guided Quantization-Aware Training for FP4 Reinforcement Learning of MoE Language Models
Reinforcement learning (RL) for post-training large language models (LLMs) incurs substantial computation and memory ove…
Sherpa: Teaching LLMs to Teach Adaptively
Large language models (LLMs) have become increasingly capable problem solvers, but being able to solve a problem is not …
Anthropic 举报了与 Claude 聊天中发出威胁的佛罗里达女子]
Anthropic 举报了一名佛罗里达女子,原因是这名女子在与 Claude 聊天中威胁要枪击 Lee 县警长办公室,并在后续聊天中提及自己正在搞一把新枪。该女子在家中被捕,法庭记录显示她于 9 月 30 日受到了一项重罪指控。逮捕报告显示…
VisionWeave: Weaving Elastic Visual Representations as a Native Capability of MLLMs
Multimodal large language models have become the dominant paradigm for visual understanding, but incur substantial costs…
OpenAI「疯狂28天」首日,这都发了些啥啊…
林, 方舟* 2026-10-06 14:45:40 来源:量子位
林方舟 发自 凹非寺
量子位 | 公众号 QbitAI
事情真的有点荒诞。
赛博义父、Codex负责人Tibo昨天刚说完,接下来的28天里,他们每天要么交付一项Codex…
Reflection AI 发布开放权重模型 Beam:主打低算力成本,对标开放权重阵营中国模型
Reflection AI 发布开放权重模型 Beam,称效率为西方同类开放模型的 3-4 倍,权重本月放出,瞄准企业与主权 AI 市场。
Stepped MoE: Segment-Level Routing with Configurable Inference Complexity
Training large language models (LLMs) is resource-intensive, and adapting them for diverse deployment scenarios with var…
GPT-6 Astra vs GPT-6.1 Sol vs Gemini 4 Argon vs Claude Fable 5.1: Which Frontier Model Fits Which Job
!(https://www.gstatic.com/images/branding/googleg/1x/googleg_standard_color_128dp.png)Add as a preferredsource on Google…