Better rates.
Usage commitments with cloud providers secure negotiated rates. We pass those commercial advantages through to model pricing, according to the model and agreed terms.
Unify model access.Own your AI costs.
AI infrastructure for production workloads, with multi-provider failover, API key controls and request-level billing. Enterprise plans are tailored to your capacity and procurement requirements.
100+models available through one API
Public catalog plus enterprise-sourced models aligned to your roadmap.
Better economics. Quality you can trust.
Negotiated rates bring cost advantages. Model integrity and compatible routing protect service quality as your AI usage grows.
The model you chose.
Your selected model stays the same. We never substitute a cheaper model. Compatible routes serving that model enable failover, bringing cost advantages and service continuity together.
API key policy controls
Set spend, expiry, model, IP, and routing policies per API key.
Provider-level failover
Keep eligible traffic running by switching to another compatible provider for the same model when a route becomes unavailable.
Request-level billing transparency
Track the model, token usage, charges, refunds, status, and request ID for every API request.
Your content. Never our training data.
We retain usage records for billing and reconciliation, not prompts, files, request bodies or model outputs.
No training on customer content
CostRouter does not retain prompts, files, request bodies, or model outputs, and does not use customer content for model training or distillation. We retain only usage records needed for billing and reconciliation, such as model, token counts, charges, status, and request ID. These records are distinct from your request content.
Usage records and data retention
Retained for billing & reconciliation
- Model & token usage
- Charges, refunds & status
- Request ID
Content not retained by CostRouter
- Prompts & request bodies
- Uploaded files
- Model outputs
Dedicated AI infrastructure
CostRouter-owned GPU capacity complements our multi-provider routing network.
Production data centers
Resilient power, cooling, network connectivity, and on-site operations.
CostRouter-owned GPU capacity
Physical NVIDIA GPUs for selected inference, training, and dedicated compute.
On-site operations
Inspection and maintenance by technical personnel.
The photographs and equipment shown were captured on site by CostRouter. Infrastructure availability and the scope of dedicated capacity are confirmed through the enterprise proposal.
Hong Kong-incorporated company
A Hong Kong office, dedicated sales and support contacts, and formal business agreements.
From business needs to a workable plan.
Assess requirements
Define models, regions, expected volume, peak concurrency and support needs.
Agree on the plan
Confirm model availability, capacity, pricing, data requirements and service scope together.
Validate integration
Verify compatibility, request performance and billing records before the agreed rollout.
Payment and invoicing
Online payments
Major cards and supported digital wallets via Stripe.
Corporate bank transfer
Company-to-company settlement for approved accounts.
Business invoices
Invoices backed by detailed usage and billing records.
Transparent pricing
- Published unit rates for self-service models
- Pay only for recorded usage
- No long-term contract required for standard usage
- Volume discounts available through enterprise sales
- Request-level usage and billing records
Reserved capacity, dedicated resources, or custom delivery arrangements may be governed by separately agreed commercial terms.
Browse models and ratesTechnical and procurement FAQ
Can we request models outside the public catalog?
Yes. Enterprise sales can assess additional models by compatibility, region, capacity, and commercial feasibility.
Do we need to rewrite our application?
Most compatible SDK and HTTP integrations only require a CostRouter Base URL and API key. More complex routing policies can be introduced incrementally with the implementation team.
What should we confirm before a production deployment?
Share the models, regions, expected volume, peak concurrency, and support requirements you need. Confirm available capacity, rate limits, service commitments, and pricing in the proposal.
Plan your enterprise deployment
Share your models, regions, traffic profile, and requirements. We will prepare a technical and commercial proposal.