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Pricing & cost

Model pricing, compute and token costs, and what a task really costs.

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Skills and knowledge entries are written in Chinese, as are signals from Chinese sources.

Published signals

13 signals
InfoQ 中文2026-10-21

MiniMax M3.1 Flash:成本降七成,Agent 国模第一

MiniMax 于 10 月 19 日发布 M3.1 Flash,输入每百万 token 0.15 美元、输出 0.60 美元、缓存输入 0.015 美元,官方称 Agent 任务使用成本较上一代降低 70%。模型在 OSWorld V2 得 61.7、Agents' Last Exam 得 29.6,文章称后者位列中国模型第一。此前匿名模型 Space Bunny 被确认是该模型的早期版本。

量子位2026-10-17

DeepSeek V4.1 Flash 新版 1017:更强也更省

DeepSeek 推出 V4.1-Flash-1017 模型,在代码与智能体任务基准上提升的同时压缩了任务运行时间和输出长度,官方称为「性能—费用的帕累托改进」。配套 Harness 升级至 0.2.1 版本,并开放自研 Search 与 Fetch 两个搜索 API,每千次成功请求 5 元,11 月 1 日前免费。

Google AI Blog2026-10-14

Gemini 4 Argon: Built to solve your hardest problems

We’re giving developers, enterprises, scientists, and consumers access to Gemini 4 Argon, our latest frontier model.

Simon Willison Blog2026-10-07

Claude Haiku 5.5

As previously promised, here's Anthropic's new fast, low cost model: Introducing Claude Haiku 5.5. The previous Haiku, 4.5, was very much showing its age. It came out almost a year ago, and was priced at $1/million input and $5/million output - relatively exp…

OpenAI News2026-09-29

Introducing GPT-6.1 Sol

Meet GPT-6.1 Sol: near-Astra intelligence for coding, computer use, and professional work at one-fifth of Astra’s standard API input and output token prices.

InfoQ 中文2026-09-28

Claude Sonnet 5.5:终端任务从 10% 到 71%,按任务算未必更便宜

Anthropic 9 月 28 日发布 Claude Sonnet 5.5,每百万 token 输入 2 美元、输出 10 美元,是 Opus 5.5 的一半,也与 GPT-6 Sol 同价。它在 Terminal-Bench 4.0 上从 Sonnet 5 的 10.3% 升到 70.6%,超过 Opus 5.5 的 66.4%,但在 FrontierCode 与 OSWorld 上仍略低于 Opus 5.5。Anthropic 称单任务成本最多低 30%;而 Artificial Analysis 在最高推理档测得单任务 7.60 美元,比 Sonnet 5 高约 50%。

Simon Willison Blog2026-09-22

Claude Opus 5.5, GPT-6 Sol, GPT-6 Luna, and a new price war

Yesterday was Grok 4.7 (pelicans) and MiMo v2.6 Flash/Pro (…

Simon Willison Blog2026-09-21

Jev introduces a new shape of LLM - System One, aka Decision Models

Last week TypeSafe AI unveiled Jev, their first example of a new category of model that they are calling "System One models" (I'm with Maggie Ap…

Hugging Face Blog2026-08-17

Same Cluster, 33 Points More Utilization: What Changed Was the Order

A constraint-aware GPU allocator benchmarked against FIFO across seven scenarios: utilization up to 33 percentage points higher, priority-weighted output up in every one.

Google DeepMind Blog2026-08-13

Introducing Gemini 3.7 Flash

Gemini 3.7 Flash arrives three weeks after 3.6 Flash with across-the-board gains in coding, web development and document-heavy knowledge work, at an introductory price of half the previous cost per million tokens.

量子位2026-08-09

一次 180 万美元的智能体账单:超预算 860%,五个月后才被发现

亚马逊用 Claude Sonnet 给自家网站填充作者信息,花掉 180 万美元、超预算 860%、五个月后才被发现,而且最终没有部署成功。同期 Meta 员工 30 天消耗 73.7 万亿 token,Uber 四个月烧完全年编码预算。一项调查显示只有 26% 的企业对自身 AI 成本具备全面可见性。这不是一条价格新闻——它是「智能体安静地做错事」这个失败模式的又一种形态:不报错,只出账单。

GitHub Blog AI2026-07-22

Copilot vs. raw API access: What are you actually paying for?

GitHub argues the choice between Copilot and raw model API access comes down to which layer of the system you need to own: the model call, or the workflow, policy, and harness around it.

OpenAI News2026-07-09

GPT-5.6: Frontier intelligence that scales with your ambition

OpenAI's newest frontier model promises more intelligence from every token, stronger performance per dollar, and more capability on demand.

Related skills

2 skills
Hot right now

旗舰模型发布解读与换代判断

面对一份新旗舰模型公告,分清哪些数字可比、哪些是话术,并判断这次值不值得换——换代的成本大多不在模型本身。

Hot right now

推理服务容量规划

估算并发、显存与成本三者的关系,判断一次推理栈升级或模型更换对自托管服务意味着什么。

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Skill · Supports模型与输出评估Knowledge · Explains基于执行的代码评测Knowledge · Explains模型选型与约束匹配Knowledge · Supports评估闭环Signal · SupportsTorchNeuron: running HF models on AWS Trainium is easier than everSignal · Supportsv0.32.0Signal · ExtendsDeepSeek Harness 开源:连 Agent Loop 都能换掉Skill · Supports给编码智能体划定任务与验收Skill · Uses检索流水线调优Knowledge · Explains检索增强生成基础Knowledge · Supports开放权重与模型许可Knowledge · Explains强化学习后训练与可验证奖励Signal · SupportsWelcome Beam: a 501B open model you can own, customize, and scaleSignal · UsesWelcome Muse Spark Open: open-weight frontier multimodal mixture-of-experts model from MetaSignal · ExtendsGemini 4 Argon:DeepSWE 等多项领先,先只给网络安全团队用Knowledge · Explains推测解码与推理加速技术Signal · SupportsMiMo-V2.6 技术报告:小米花 260 万美元跑一次强化学习Signal · ExtendsDeepSeek-V4 的周期性盲点:信息换个位置,检索准确率差 40 个百分点Signal · SupportsAgent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real HarnessesSkill · Related智能体工作流设计Knowledge · Related交互系统中的延迟权衡Signal · SupportsSharing AI progress in mathematicsSignal · ExtendsOllama v0.35.1: Clef decision modelsSignal · RelatedIntroducing Olmo-core 3: Open, scalable training infrastructure for large MoEsSignal · RelatedDeepSeek 开源昇腾版 DeepGEMM 等组件:接口与 NVIDIA 版相同Signal · SupportsNVIDIA Kumo Tabular Sets a New Accuracy-Efficiency Frontier for Tabular PredictionSignal · RelatedGPT-6 Astra: A new generation of intelligenceSignal · ExtendsOpenAI 的智能体借 DNS 出了沙箱:警报响了,运行没停Skill · Related智能体安全与提示注入防御Knowledge · Related人在回路的审查Knowledge · Explains智能体沙箱与执行隔离Knowledge · Related完成判定与验收信号Knowledge · Explains知识蒸馏Signal · UsesHolo4: powering generalist computer-use agentsSignal · ExtendsDoorDash 清理过期开关:50 个里 45 个可用,一次 4.79 美元Signal · SupportsTPU 巨核:同样是 16 块芯片,Kimi K3 快 57%Signal · SupportsColibrì:25GB 内存跑 744B 模型,权重按需从硬盘读Signal · ExtendsPinterest 数百亿向量检索:量化与 SSD 的取舍明细Signal · ExtendsHow UK AISI and EvalEval Are Making Benchmark Results ReproducibleSignal · Supportsv0.30.0Signal · SupportsQwen 3.8 27B is excellent, but it defaults to wildly overthinking thingsSkill · SupportsAI 工具链选型与自建边界评估Knowledge · Supports系统设计的权衡Signal · SupportsLFM2.5-Encoders for Fast Long-Context Inference on CPUSignal · ExtendsYour Agent Aced the Task. Will It Do It Again?Signal · UsesSafety for Whom? Refusing the Right Subset of a Topic, Not the Whole TopicSignal · PrerequisiteSome thoughts on the Navier–Stokes Millennium Prize ProblemSignal · PrerequisiteAlphaGenome Atlas: A predictive map of every possible DNA letter change in the human genomeSignal · SupportsKiro Crew 开源:内部 3.9 万人在用,没人被要求Signal · Uses模型之间只传 17 比特:一座桥补上一半差距Signal · SupportsResearch acceleration: The view inside OpenAISignal · ExtendsFreeToken:消费级机器不是缩水的服务器,是异构资源Signal · UsesBenchMIRT: What are LLM benchmarks actually measuring?Signal · RelatedPiloting the world's first double-blind AI evaluationsSignal · SupportsMuse Glimmer 开源:30B 压进消费级显卡,报错不停下Skill · Supports智能体可观测性与评测运维Signal · SupportsRootly 废掉了小 PR 规则:审查的对象从行数换成了影响半径Signal · Related菲尔兹奖得主:模型强在找到那个对象,弱在知道何时放弃Signal · UsesCloudflare Computer:不给智能体一个容器,给它一台机器Signal · SupportsQwen3.8-27B 开源:消费级显卡跑得动,尺子却是自己命名的Signal · SupportsState of Open Models: Summer 2026 ObservationsSignal · SupportsMeta 重回开放权重:一封长文、一个独立董事会,和一组本地部署的数字Signal · SupportsMeta is back with Muse Glimmer: local, agentic, multimodal, and open sourceSignal · Supports微软 Agent Framework Harness 正式发布:智能体的运行时成了产品Signal · PrerequisitevLLM v0.27.0Signal · ExtendsChatGPT is now a partner for your most ambitious workSignal · RelatedNew release of LLM adds support for reasoning traces, OpenAI Responses, server-side tools, and smarter loggingSkill · SupportsAI 试点范围界定Signal · SupportsBigBang-v1:把数据生产系统本身当成优化对象,以及一处对不上的口径Signal · UsesSGLang v0.5.17Signal · PrerequisiteOllama v0.32.4Signal · PrerequisitevLLM v0.26.0Skill · Prerequisite工具集成模式Knowledge · PrerequisiteAPI 契约与接口边界Signal · SupportsIntroducing Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash CyberSignal · SupportsKimi K3, and what we can still learn from the pelican benchmarkSignal · PrerequisiteWelcome Inkling by Thinking MachinesKnowledge · Prerequisite混合专家模型(MoE)架构Knowledge · Extends合成数据与数据配方Signal · UsesvLLM v0.25.0Signal · UsesNative-speed vLLM transformers modeling backendSignal · UsesOllama v0.32.0Knowledge · Supports模型量化与数值精度Knowledge · ExplainsKV 缓存与长上下文推理