Start free. Scale with your AI.

Start on Free to validate your integration. Move to Starter when you launch to real users and need more requests, team seats, and email support. Choose Core when production traffic grows and you want priority support. Enterprise is for custom volume, dedicated help, and org-level requirements.

Direct OpenAI integrations are fine for experiments, but they lock your product to one provider and push failover, monitoring, and cost control onto your team. ModelRiver gives you one gateway for many providers so you can switch models later and stay online when a provider has issues.

Yes. You connect your own provider keys in the console. ModelRiver does not resell tokens. You pay providers directly and pay ModelRiver for the platform layer.

If a provider is slow, unavailable, or rate limited, ModelRiver can retry through another provider you configured. That protects customer experience without custom fallback code for every model.

Yes. That is a core reason to use ModelRiver. Move traffic between OpenAI, Anthropic, Gemini, and others from the dashboard without rebuilding your product around a new API.

Set project and per-model budgets. ModelRiver can warn as you approach the limit and block over-budget live requests before they hit a provider bill.

Requests route through ModelRiver to the providers you choose. Use your own keys, and review our docs and policies for details on how traffic and logs are handled.

Many teams start by pointing an OpenAI-compatible client at ModelRiver and swapping the base URL. Full workflow setup usually takes minutes to a couple of hours, not a multi-week rewrite.

A request is an AI call routed through ModelRiver, including streaming calls and retries handled as part of your setup. Each plan shows included monthly requests and published overage rates where applicable.

Yes. Upgrades take effect immediately. Downgrades take effect at the next billing cycle. Mid-cycle upgrades are prorated.