概览
主要功能
- 对一系列LLM的访问
- 分布式基础设施支持高可用性
- 细颗粒度的数据策略
- 最小的延迟
- 成本有效的收费
- 对OpenAI SDK的支持
价格
- 模型
- Free
- 评分
- 4.6 / 5 (5)
使用场景
通过单一API整合多个LLM
开发者可以通过统一接口将多个大型语言模型整合到一起，避免为每个提供商管理单独的API集成。
比较LLM输出
使用者可以测试和比较来自多个LLM的不同响应，找出适用于特定任务或用例的最佳模型。
在App中灵活切换LLM
应用程序可以动态切换到不同的LLM，根据成本、性能或可用性而无需重写集成代码。
快速构建AI应用
开发者可以通过快速实验，使用一致的界面，各种模型快速构建AI应用。
优点 & 缺点
优点
- 通过统一接口访问多个模型和服务提供商
- 对OpenAI SDK的支持
- 分布式基础设施支持可靠的机器学习模型
- 细颗粒度的数据策略确保数据保护
- 最小的延迟和成本有效的收费
缺点
- 如果不恰当配置，潜在的安全风险
- 依赖于多个服务提供商为模型可用性
- 复杂的模型集成学习曲线
- 某些模型的有限定制选项
评测
5 个评分的平均值。
登录以留下评测。
Solid for our team
We rolled this out across the team last quarter and the value for money is strong. The dashboard fits neatly into how we already work, and the API removed a step we used to do by hand. but it has held up under daily use.
Compared a few options
Evaluated this against two competitors. Where it wins: the integrations and it is genuinely easy to set up. On balance the feature set — especially the core workflow — justifies the 5 stars for our use case.
Solid for our team
We rolled this out across the team last quarter and it saves real time. The API fits neatly into how we already work, and the API removed a step we used to do by hand. The mobile experience lags, which is the main caveat, but it has held up under daily use.
Compared a few options
Evaluated this against two competitors. Where it wins: the automation and the value for money is strong. Where it lags: a few rough edges remain. On balance the feature set — especially the integrations — justifies the 4 stars for our use case.
Solid for our team
We rolled this out across the team last quarter and support is responsive. The automation fits neatly into how we already work, and the integrations removed a step we used to do by hand. The mobile experience lags, which is the main caveat, but it has held up under daily use.
问答
How does model fallback work if a provider is unavailable?
OpenRouter automatically falls back to the next provider on errors. Configure provider routing in documentation.
Asked by Petra Vogel · Jun 4, 2026
What is the expected latency/response time for different models?
Model pages show latency and throughput by provider. Use :nitro to route to faster providers.
Asked by Quentin Lefevre · May 23, 2026
What are model variants?
Variants are suffixes that modify behavior. Static variants are available on specific models, listed in the models API: free – free model with low rate limits; extended – longer context length; thinking – reasoning by default. Dynamic variants can be used on all models: online – attach web results to the prompt; nitro – optimize for faster throughput; floor – prioritize lowest price.
Asked by Valentina Marino · Apr 19, 2026
How frequently are new models added?
We add models regularly, often in partnership with labs. If something’s missing, reach out on Discord.
Asked by Wei Chen · Apr 8, 2026
提问
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