OpenRouter vs Together AI
A source-aware comparison of pricing, documented capabilities and workflow fit.
Short answer
- Price: not directly comparable — OpenRouter is usage-based pricing, Together AI is usage-based pricing.
- How to start: both are usage-based pricing.
- Where they differ: only Together AI has sso (saml); both offer public api.
These lines are generated from the pricing we track, not from a paid placement. How we score tools.
What OpenRouter is
OpenRouter provides one API and billing layer across multiple model providers. Requests can be routed by provider availability, price, throughput, parameter support and data policy, with optional fallbacks. Model charges vary by provider and modality; OpenRouter also charges fees when credits are purchased and under some BYOK usage conditions.
What Together AI is
Together AI offers shared serverless inference and dedicated endpoints through the same API surface. Serverless models are billed by token or output unit and use dynamic rate limits; dedicated endpoints reserve hardware and bill by running time. Model availability, license, modality and price must be checked in the current catalog.
Side by side
| OpenRouter | Together AI | |
|---|---|---|
| Category | AI Tools | AI Tools |
| How to start | Usage-basednot a monthly price | Usage-basednot a monthly price |
| Public API | Yes | Yes |
| Mobile app | No | No |
| Open source / self-hostable | No | No |
| SSO (SAML) | No | Yes |
| Visit | OpenRouter ↗ | Together AI ↗ |
What OpenRouter is built to do
- Unified model API
- Access models from multiple providers through one API and consolidated billing account.
- Provider routing
- Choose provider order or route by price, throughput, parameters and data policy.
- Fallback providers
- Allow compatible providers to handle a request when the preferred route is unavailable.
- Privacy controls
- Limit routes by data-collection policy or zero-data-retention endpoints.
What Together AI is built to do
- Serverless inference
- Shared, per-usage access to supported models without provisioning replicas.
- Dedicated endpoints
- Reserved hardware with per-endpoint configuration and per-minute billing while running.
- Shared API surface
- Serverless and dedicated endpoints use the same inference APIs for compatible models.
- Multimodal catalog
- Current offerings span chat, image, video, audio, embeddings and moderation.
Choose OpenRouter if
- Applications that need provider fallbacks without separate integrations
- Teams that want centralized model usage and spend visibility
- Workloads that can apply explicit provider and data-policy routing rules
Skip OpenRouter if
- Your policy requires a direct contract and data path with one model provider
- You cannot accept credit-purchase or applicable BYOK fees
- You need identical behavior and feature support across every routed provider
Choose Together AI if
- Prototyping or variable traffic on a supported serverless model
- Steady workloads that justify reserved dedicated hardware
- Teams that want one API surface across serverless and dedicated deployment
Skip Together AI if
- You require a free trial before purchasing platform credits
- A required model is unavailable in the chosen serverless or dedicated catalog
- You cannot monitor dynamic rate limits or dedicated endpoint runtime cost
Evidence and freshness
Where a claim on this page comes from a vendor page, it is linked here.
OpenRouter
Official sources reviewed · reviewed 2026-08-24
Together AI
Official sources reviewed · reviewed 2026-08-24
OpenRouter: pros & cons
- Unified API: One interface exposes models from multiple providers.
- Routing controls: Requests can prioritize provider order, price, throughput and parameter support.
- Fallbacks: Compatible backup providers can be used when a selected provider is unavailable.
- Privacy routing: Requests can be restricted by provider data policy or zero-data-retention support.
- Credit fees: OpenRouter documents a fee when purchasing credits even when inference pricing is passed through.
- Additional dependency: Availability and behavior depend on OpenRouter plus the routed provider.
- Provider variation: Prices, supported parameters, retention policies and model availability differ by route.
- Metadata collection: Request metadata such as token counts and latency is retained for reporting.
Together AI: pros & cons
- Two deployment modes: Prototype on serverless and move compatible workloads to dedicated endpoints.
- Multiple modalities: The catalog includes text, image, video, audio, embedding and moderation options.
- No serverless minimum: Supported serverless models bill by actual usage without provisioning.
- Dedicated control: Reserved hardware provides endpoint-specific configuration and avoids shared-fleet limits.
- Catalog changes: Available models, prices and supported deployment modes can change.
- Dynamic limits: Serverless quotas vary by model, capacity and recent successful usage.
- Dedicated idle cost: Reserved endpoints bill while running regardless of request volume.
- Access cost: Together currently documents a minimum credit purchase and no free trial.
Our verdict on OpenRouter
Choose OpenRouter when multi-provider routing and consolidated billing justify another service in the request path; pin privacy, provider and budget policies explicitly.
Our verdict on Together AI
Choose Together AI when its current model catalog and serverless-to-dedicated path match your traffic; compare total workload cost rather than relying on a generic price claim.