OpenRouter统一的 API 网关，通过一个端点访问数百个人工智能模型

4.6 (5)

审阅者 Daniel Nikulshyn·更新 2026年5月

API Developer Tools LLM Model Aggregation Pay-As-You-Go Analytics Infrastructure

概览

OpenRouter 是一个 API 聚合服务，开发者可以通过一个标准化接口访问来自 OpenAI、Anthropic、Google、Meta 和 Mistral 等供应商的大规模语言模型（LLM）。不必为每个供应商单独管理账号、密钥和 SDK，团队只需一次集成即可将请求路由到任何受支持的模型。该平台会自动在不同供应商之间进行故障转移，比较同一开源模型在不同托管方的定价，并提供使用分析。这使得尝试新模型、优化成本以及在单个供应商出现停机时保持服务可用性更为便捷。 OpenRouter 是开发人员构建 AI 应用、代理和原型时常用的工具，提供在不重写代码的情况下灵活切换模型的功能。

主要功能

统一的 OpenAI 兼容 API
数百个模型的访问
自动供应商故障切换和负载均衡
透明的按令牌价格比较
使用情况仪表板和分析
对实时和工具调用支持

价格

模型: Free
分类: AI Infrastructure & MLOps
评分: 4.6 / 5 (5)

使用场景

多模型实验

开发人员可以通过一个 API 快速测试和比较 OpenAI、Anthropic、Google、Meta 和 Mistral 等模型的输出，而无需设置单独帐户或 SDK。

开源模型的成本优化

团队可以在多个主机上比较相同开源模型的按令牌价格，并将请求路由到最便宜的供应商。

高可用性人工智能应用

生产应用可以依赖于自动故障切换和负载均衡来保持可用性，当单个模型供应商出错或遇到限速时。

统一的使用分析

工程团队可以从单个仪表板监控令牌消耗、成本和模型性能，而无需组合单独的报表。

优点 & 缺点

优点

单一 API 支持多个模型供应商
自动故障切换提高可靠性
竞争性价格
无需编码即可轻松切换模型
按需付款，无需单独帐户

缺点

添加一个位于应用之间的中间层
路由供应商中的延迟可能会有所不同
不支持某些高级供需特性
要求相信第三方处理 API 流量

评测

4.6

5 个评分的平均值。

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Hiroshi Tanaka

Jan 19, 2026

Does the job

Pretty happy overall. Access to hundreds of models just works and automatic failover improves reliability. Requires trusting a third party with API traffic can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Marcus Bell

Dec 31, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: usage dashboard and analytics and single API for many model providers. Where it lags: some advanced provider-specific features unsupported. On balance the feature set — especially usage dashboard and analytics — justifies the 5 stars for our use case.

Esther Adeyemi

Nov 27, 2025

Solid for our team

We rolled this out across the team last quarter and automatic failover improves reliability. Transparent per-token pricing comparisons fits neatly into how we already work, and unified OpenAI-compatible API removed a step we used to do by hand. Adds a middle layer between app and provider, which is the main caveat, but it has held up under daily use.

George Papadakis

Jul 10, 2025

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on automatic provider failover and load balancing, and easy model switching without code changes caught me off guard. Requires trusting a third party with API traffic is why this isn't a perfect score, still, I'd recommend giving it a real trial.

Frank Müller

Jun 25, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: support for streaming and tool calls and automatic failover improves reliability. Where it lags: requires trusting a third party with API traffic. On balance the feature set — especially automatic provider failover and load balancing — justifies the 5 stars for our use case.