ARTICLE · 1236649

【Coze插件开发】-05 Artificialanalysis.ai AI基准测试与分析

发布时间：2026-10-23 20:08:07 最近访问：2026-10-23 18:53:01

Hi~我是Jike，专注于AI人工智能与自动化的博主一枚。因为Coze本身的能力不能实现业务场景全覆盖，很多功能的实现得依赖插件，所以我会将Coze插件库没有但又需求很大的APP的API封装成Coze插件发布到Coze插件商店，方便大家使用。

插件地址：

https://www.coze.cn/store/plugin/7569906039265640498?from=store_search_suggestion

简介

Artificial Analysis 是一家独立的 AI 基准测试公司。衡量智能体和模型、为其提供服务的云基础设施，以及运行这些智能体和模型的芯片，帮助开发者和企业优化整个 AI 技术栈。

官网：https://artificialanalysis.ai/

核心功能

返回包括头条指数、中位表现，以及投入产出定价。排除仅Pro字段，如完整的评估集，代币计数、混合定价、性能百分位、上下文窗口、参数，治疗方式、执照和提供者详情。

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适用场景

1. AI 应用 / Agent 产品选型（最常用）

在 Coze、Dify、自研 Agent 平台里，挑选底层大模型：对比 GPT、Claude、Gemini、DeepSeek、GLM 等，看谁更适合你的工作流（文档分析、数据表格、调用 API、多步骤任务）

权衡三角：任务准确率 / 延迟 /token 成本，避免只看厂商宣传，用独立基准数据做决策

细分场景选型：法律文书、财务报表、数据分析、代码工程、医疗摘要等垂直任务，平台有行业专项排行榜

2. 智能体（Agent）能力专项评估

评估多步骤业务 Agent：做 PPT、Excel 分析、查阅文档、调用工具这类长周期知识工作（AA-Briefcase 基准），非常贴合 Coze 工作流场景Artificial...

测试 Agent 使用终端、代码沙箱能力（Terminal-Bench），适合代码节点、自动化脚本类工作流

对比不同模型做 RAG、私有文档问答时的忠实度、幻觉水平

3. AI 工程团队与产品迭代

上线前做模型 POC：缩小候选模型范围，减少大量人工测试成本

持续监控：新模型发布、厂商调价后，评估是否要替换现有模型栈

性能基线管理：建立内部指标，跟踪版本迭代带来的能力变化

4. 企业采购 & 供应商商务谈判

给内部汇报：用中立数据支撑 AI 预算、供应商选型审批

和 API 服务商谈判：拿着跨模型对比数据议价，评估不同服务商性价比

5. AI 研究、行业分析、技术内容创作

科研人员、分析师：获取标准化评测数据集，研究模型能力边界

技术博主 / 行业报告：引用独立排行榜，对比模型演进趋势

学术 / 开源项目：把评测数据接入自己的实验流程（平台提供 API）Artificial...

6. 平台 API 接入（进阶）

把 Artificial Analysis 评测数据接入你的系统：

自动化模型推荐面板

内部 AI 网关动态路由（根据任务类型自动选择最合适模型）

自建模型监控看板，实时拉取各模型基准分数、价格、延迟数据

✅ 适合人群

AI 产品经理、LLM/Agent 开发、算法研究员、企业 AI 采购、Coze/Dify 等 Bot 搭建者、技术分析师

添加插件

1.智能体->技能->插件

2.工作流->添加节点->插件

3.插件商店->添加到智能体

点击“插件工具”可看到需要传入的参数

运行插件

申请API key

复制下面👇的链接到浏览器打开

https://artificialanalysis.ai/orgs/yeah-vnnra2/api-access

插件参数填写

不需要加“Bearer+空格”

工作流代码

不会搭工作流或懒得搭工作流，复制粘贴下方⬇️代码到Coze工作流中即可一键使用。

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