OpenRouter
One API for accessing, comparing, and routing requests across hundreds of AI models.
About OpenRouter
OpenRouter gives developers one API endpoint for hundreds of language and multimodal models from many providers. A team can compare models, change providers without rebuilding every integration, or add fallback behavior to a production app. OpenRouter monitors response times, errors, and availability, then uses that data when routing requests. Integration options include the direct API, client SDKs, and an agent SDK. Activity logs, exports, budgets, spend controls, prompt caching, and provider preferences help with day-to-day operations. The Free plan covers a limited selection of free models and allows 50 requests per day. Broader use is pay as you go at model-specific token rates; enterprise buyers can request SSO/SAML, managed policy enforcement, and contractual SLAs. There are practical tradeoffs. OpenRouter adds an intermediary to the request path, costs vary by model, and data-handling rules may differ by model and provider. Production fit depends on the team’s routing and privacy requirements.
Best for
Best use cases
A production app needs fallback routing when a chosen provider becomes unavailable.
A team is comparing model quality and cost without rebuilding each provider integration.
An operator needs budgets, usage exports, and provider preferences for a shared AI service.
Compare before choosing
Choose OpenRouter over separate provider APIs when integration breadth and model switching matter more than a direct vendor relationship.
Compare model-specific token rates before committing because the pay-as-you-go cost changes with the selected model.
Review provider data policies and routing controls when privacy requirements outweigh automatic provider selection.
Features
Multi-model application development
Connect an application to many AI models through one endpoint, then compare or replace models without separate integrations.
Resilient production routing
Use provider health signals, automatic fallback behavior, and preferred-vendor controls when endpoints fail.
AI spend and usage operations
Track activity, export logs, set budgets and spend controls, and manage usage across a team.
Pros
- One endpoint reduces the engineering work required to test or switch among many models.
- Real-time provider health and fallback routing can reduce disruption in production workflows.
- Budgets, spend controls, logs, and exports give teams practical oversight of usage and cost.
Cons
- Pay-as-you-go cost varies by model, so teams must monitor token rates and usage closely.
- The Free plan is limited to free models and 50 requests per day, which restricts serious testing.
- Requests pass through an additional platform, and data policies may vary by selected model or provider.
Pricing Plans
Free
- 25+ free models
- 4 free providers
- 50 requests per day
- Community support
Pay-as-you-go
- Access to paid models
- Chat and API access
- Activity logs and export
- Budgets and spend controls
Enterprise
- Admin controls
- Managed policy enforcement
- SSO/SAML
- Contractual SLAs
* Pricing information is for reference only. Please refer to the latest announcement on OpenRouter's official website.