Key facts
| What it is | Unified model endpoint integrated with the Vercel ecosystem |
| API style | OpenAI-compatible gateway for many models |
| Features | Routing, fallbacks, observability and BYOK support |
| Ecosystem | Deep integration with the Vercel AI SDK and platform |
| Not a model provider | You route to upstream model providers |
| Plugsky model | Managed API serving 30+ models directly |
| Plugsky pricing | Flat monthly self-serve plans; free plan with two models |
| Plugsky deployment | Cloud, VPC, on-prem or air-gapped |
TL;DR
- The Gateway is strongest inside the Vercel ecosystem and AI SDK.
- Alternatives for other stacks include self-hosted gateways and aggregators.
- A managed API is simpler when you want models and billing handled together.
- Flat monthly plans favor predictable cost; gateways favor provider optionality.
- Both can coexist if your frontend is on Vercel and workloads need residency.
How it works, step by step
- List the gateway features you use: routing, fallbacks, caching or BYOK.
- Confirm whether your application depends on Vercel-specific SDK integrations.
- Shortlist alternatives: self-hosted gateway, aggregator, managed platform.
- Test one workload on the candidate with identical prompts and tools.
- Compare cost, data path and maintainability at your real volume.
- Decide whether the gateway stays for the frontend or is replaced entirely.
Try it yourself
Open the Vercel AI Gateway API cost calculator →
What the Gateway does well
Vercel AI Gateway is a natural fit for teams already building on Vercel. It gives one endpoint across many upstream models, integrates directly with the AI SDK, and adds routing and observability without a separate gateway deployment. For a Next.js product, that is the shortest path from idea to working multi-model code.
It is still a routing layer rather than a model provider. Upstream providers serve the requests, their terms apply to the data, and usage is metered through the gateway's model.
Alternatives by stack
If your application does not live on Vercel, the integration advantage shrinks and the decision becomes architectural. Self-hosted gateways such as LiteLLM give full control over routing with your own provider keys. Aggregators such as OpenRouter prioritise catalogue breadth. Managed platforms such as Plugsky serve a curated catalogue of 30+ models directly, with flat monthly self-serve plans, a free plan covering plugsky-micro and plugsky-lite, and deployment that can extend to VPC, on-prem or air-gapped.
The honest trade is ecosystem convenience versus control. The Gateway stays inside one vendor's platform story; a managed platform or a self-hosted gateway keeps the serving layer independent of where the frontend is deployed.
Choosing without lock-in
Because every serious option speaks OpenAI-compatible chat, the request layer is portable. That means you can evaluate on substance: cost shape at your volume, data path, model coverage and the governance features you genuinely use. Current Plugsky plans are on the live pricing page.
A pragmatic split exists too: keep the Gateway for Vercel-hosted product surfaces and route backend or regulated workloads to a managed endpoint with residency options. One internal interface and an environment variable make that arrangement cheap to maintain.
Honest comparison
| Consideration | Plugsky | Vercel AI Gateway | Self-hosted gateway |
|---|---|---|---|
| Role | Serves 30+ models directly | Routes to upstream providers | Routes to providers you connect |
| Ecosystem fit | Framework-agnostic | Strongest on Vercel and AI SDK | Any stack |
| Billing | Flat monthly self-serve plans | Upstream token rates via the gateway | Provider spend only |
| Model breadth | Curated 30+ catalogue | Many models via providers | Whatever you connect |
| Data path | Region choice and private deployment | Depends on Vercel and upstream providers | Your infrastructure |
| Operations | None | None | You run the gateway |
Frequently asked questions
What is the best Vercel AI Gateway alternative?
For managed models with flat pricing and residency options, Plugsky. For self-hosted routing with your own keys, LiteLLM. For catalogue breadth, an aggregator such as OpenRouter.
Can I use Plugsky with the Vercel AI SDK?
Yes. The AI SDK accepts custom base URLs and OpenAI-compatible providers, so you can point it at Plugsky and keep your existing application structure.
Does Plugsky replace gateway features like fallbacks?
No. Fallbacks, caching policies and cross-provider observability are gateway features. Keep a gateway layer if you depend on them.
Is migration hard?
For OpenAI-compatible clients, it is a base URL and model-name change followed by re-testing tools, JSON mode and streaming behaviour.
Which is cheaper?
The Gateway passes through upstream token pricing, while Plugsky self-serve plans are flat monthly. Compare both at your real volume rather than on headline rates.
Can I keep my Vercel deployment and use Plugsky?
Yes. Where the frontend runs is independent of which model endpoint the backend calls. Many teams deploy on Vercel and call a managed API.
What about data residency?
Plugsky offers region choice plus VPC, on-prem and air-gapped deployment. Gateway routing to upstream providers makes residency harder to guarantee, so verify the full data path.