它创造价值的地方
自主研究与分析
文档、电子表格和演示文稿
浏览器和计算机使用工作流
定时监控
企业客户和员工代理
多代理应用开发
什么产生了账单
每次尝试的积分或操作数
模型、浏览器和沙盒运行时间
连接器和外部API
失败、重试和升级率
人工审批与修复
未使用的月度容量
追踪的产品
价格以其原始单位显示，然后通过每次接受结果的成本进行归一化。公开的联盟可用性绝不决定工具的排名。
Manus · Autonomous general-purpose agent
Subscription plus task credits
Free and paid credit plans; task complexity determines consumption.
最适合
Research, websites, slides, scheduled tasks and multi-step deliverables
成本陷阱： Comparing included credits without measuring accepted deliverables.
OpenAI · Knowledge-work agent
Eligible paid-plan usage plus additional credits
Long-running Work tasks use plan capacity and can draw on purchased credits.
最适合
Documents, spreadsheets, presentations, reports, Sites and connected apps
成本陷阱： Treating included access as zero-cost unlimited work.
Anthropic · Knowledge-work and file agent
Included with paid Claude plans
Practical capacity follows the limits of the selected Claude plan.
最适合
Document assembly, file synthesis and structured knowledge work
成本陷阱： Ignoring verification and repair time for high-consequence output.
Perplexity · Search-native digital worker
Subscription plus credits
Computer consumes credits based on task complexity; allocations vary by plan.
最适合
Cited research, connected-app tasks, asset creation and monitoring
成本陷阱： Counting a completed run before its claims and actions are verified.
Genspark · Multi-tool super agent
Subscription plus credits
Individual and team plans combine specialist agents with a shared credit allowance.
最适合
Research, slides, sheets, documents, design, coding and communications
成本陷阱： Using one broad agent for every task without measuring specialist output quality.
Microsoft · Enterprise agent builder
Prepaid Copilot Credits or pay-as-you-go
Capacity and pay-as-you-go options meter agent actions and usage.
最适合
Microsoft 365, Power Platform and external-channel agents
成本陷阱： Buying capacity before estimating credits per resolved workflow.
Salesforce · CRM-native enterprise agent platform
Flex Credits, conversations or user licensing
Pricing can be based on credits, actions, conversations or user packaging.
最适合
Customer service, sales and employee workflows in Salesforce
成本陷阱： Optimising action price while ignoring implementation and unresolved cases.
AWS · Managed agent runtime and operations platform
Modular consumption pricing
Runtime, browser, memory, gateway, identity, evaluation and observability are charged separately.
最适合
Operating custom production agents on AWS
成本陷阱： Comparing model tokens while omitting the operational service stack.
Google · Open-source agent framework
Open-source framework plus infrastructure usage
No framework licence fee; landed cost comes from models, tools, hosting and operations.
最适合
Code-first agent and multi-agent development
成本陷阱： Calling the framework free while excluding production infrastructure and labour.
n8n · Workflow automation and agent platform
Cloud subscription or self-hosted infrastructure
Cloud plans meter workflow executions; self-hosting shifts cost into infrastructure and operations.
最适合
Developer-controlled AI workflows, agents and integrations
成本陷阱： Calling self-hosting free while omitting maintenance, upgrades and incident support.
Make · Visual automation and AI-agent platform
Subscription plus execution credits
Plans scale by monthly credits, with most workflow module actions consuming credits.
最适合
Visual workflows, app integration and accessible AI automation
成本陷阱： Comparing monthly credits without calculating credits per successful business workflow.
Taskade · AI agents, automation and app builder
Subscription plus AI credits
Plans bundle seats, AI credits, agents, automations and the Genesis app builder.
最适合
Small-team agents, workflows, collaborative projects and prompt-built apps
成本陷阱： Buying a high-credit tier before proving recurring agent and automation usage.
Browse AI · Browser automation and web-data agent
Subscription plus extraction credits
Plans meter websites, credits and task volume; difficult sites can consume more credits.
最适合
No-code scraping, monitoring, website-to-spreadsheet and data workflows
成本陷阱： Using cost per robot run instead of cost per accepted clean dataset or alert.
只有在存储了批准的跟踪 URL 后，按钮才会标记为赞助。在此之前，它们只是普通的官方产品链接。 Disclosure.
商业意图指南
每个页面针对特定的购买问题，并使用接受的 outcomes 分母。
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FAQ
代理通过多个步骤追求目标，调用工具，观察结果，并持续直到满足停止条件。自主性是一个谱系；单次模型调用并不自动构成代理。
使用每次被接受并完成的任务的成本。包括订阅、积分、模型使用、运行时间、工具、重试以及人工审批或修复。
不。对于有限的可重复工作，智能体可能是经济的，但模糊的任务、不可靠的工具和昂贵的审查可能使它们更昂贵。
编码智能体具有自主性，但仓库访问、测试、审查和可接受的工程结果创造了不同的购买和成本模型。
首先选择经济系统
不要将积分与令牌或席位与执行次数进行比较。从与工作匹配的架构开始，然后在一次落地成本模型中计算订阅、使用、重试、运行时间、人工审核和可接受的结果。
Delegated research, documents and multi-step knowledge work
主要成本单位：Plan, credits and accepted tasks
Repository work, debugging, refactoring and software delivery
主要成本单位：Seat, requests, tokens and accepted code changes
A bounded production workflow with one accountable agent
主要成本单位：Tokens, tools, runtime and reviewer time
Specialist roles where measured quality gains justify orchestration
主要成本单位：Role calls, handoffs, repeated context and coordination tax
Deterministic processes with selected AI steps
主要成本单位：Executions, operations, model calls and maintenance
Organisation-wide agents with identity, policy and audit requirements
主要成本单位：Seats, capacity, connectors, governance and support
新模型发布 · 检查于 2026年9月14日
Astra 在我们的1M输入/200K输出示例中花费20美元，而GPT-5.6 Sol仅需8美元。我们的发布评测将OpenAI的基准声明与独立测试区分开来，并显示何时额外12美元可以回本。
如果我们的计算器帮助您减少了隐藏的 AI 钱包泄露，感谢您的使用。您节省费用中的一小部分，正是我们每日更新定价指数的来源。
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