What each option is
A cloud account is a general purpose account with a large hosting provider. Many of these providers offer hosted models inside that account, so model use appears alongside your other services. Access is usually metered by tokens, which are the small text units a model reads and writes.
Buying direct means opening an account with the company that builds the model and paying it straight. That company runs the endpoint, sets its own terms, and often releases new models first. If you are still comparing the models themselves, read how to choose an LLM API first.
Who holds the contract and where the model runs
The main difference is who holds the contract and where the model runs. A cloud account keeps model access under the provider's agreement, regions and identity controls. The direct route keeps it under the model maker's agreement and its own rules for data and limits.
Most other differences follow from that choice. Invoices, regional hosting, quotas and enterprise controls all depend on which agreement sits in the middle. Read the agreement before you compare the price lists.
When a cloud account wins
- Your team already runs workloads in that cloud and wants a single invoice and a single set of access rules.
- You need the model to run in a specific region so that requests stay within a chosen area.
- Your security team already reviews the cloud's identity, logging and network controls, and wants model access inside them.
- Your purchasing process prefers buying through an agreement you already hold.
Shared invoices and shared access groups can make onboarding and offboarding simpler for a team. Check the provider's own documentation for which models and regions are offered in your area. Availability changes over time, and the rules vary by country and by provider.
When a direct account wins
- You want new models and features as soon as the model maker releases them.
- You want to discuss limits, custom terms or dedicated capacity with the company that runs the model.
- Your product depends on that model, and you want the shortest path from first request to production.
- You want model spend kept apart from your other infrastructure costs.
Direct access adds another vendor to review. Your security and audit work will need that review, so start it early.
Regions, data handling, quotas and controls
Regional hosting is where cloud accounts often stand out. A cloud region can keep requests inside a chosen geography, which can help with residency requirements. Direct access may run in fewer locations, so confirm where requests are processed before you send sensitive data.
Data handling depends on the agreement, not on the brand of the seller. Ask whether prompts are stored, for how long, and whether they are used to train future models. Look for compliance certifications, and confirm they cover the exact service you plan to use.
Quotas are the limits on requests and tokens over a set period, often each minute. Both paths set default quotas, and both can raise them on request. Cloud accounts often tie increases to account history and region, while direct accounts often tie them to a usage tier. Plan for the limit you need at peak load, not the limit you see when you start.
Enterprise controls are admin features such as access roles, audit logs and private network paths. Cloud accounts usually bring these from the wider account, while direct accounts provide their own admin tools, and the depth of those tools varies.
Which to pick
- Teams already standardized on a cloud account should start there, then compare model access inside it.
- Product teams chasing the newest model features should test direct access first.
- Teams with strict compliance duties should read the agreement, the region list and the audit reports before they choose.
- Solo builders and small teams should pick the path with the fewest accounts to manage.
Whichever path you pick, run the same workload on both. Send a representative set of requests, measure response time and error rates, and read the terms next to the price. Write down the answers you need before you start, such as where data must stay and how much capacity you expect at peak. If you also need a single interface across several model makers, look at model gateways.