The AI Gateway provides a unified API to access hundreds of models through a single endpoint. It gives you the ability to set budgets, monitor usage, load-balance requests, and manage fallbacks.
The design allows it to work seamlessly with AI SDK 5, OpenAI SDK, or your preferred framework.
Key features include:
Unified API: helps you switch between providers and models with minimal code changes
High Reliability: automatically retries requests to other providers if one fails
Embeddings Support: generate vector embeddings for search, retrieval, and other tasks
Spend Monitoring: monitor your spending across different providers
Highlights
Unified API: helps you switch between providers and models with minimal code changes
High Reliability: automatically retries requests to other providers if one fails
Spend Monitoring: monitor your spending across different providers
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AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
AI Gateway sells through credits that you draw down as you use the service. Both dimensions bill in credit units. On-demand credit lets you top up and pay per request as usage occurs. AI Gateway credit is set through a private offer, so you contact the vendor for negotiated pricing. This suits buyers who want committed pricing tied to their AWS cloud commitment. You use credits to route requests across many AI models through one endpoint, with usage drawn down per request.
Top-of-mind questions for buyers
What does one credit represent when routing requests through AI Gateway?
A credit is prepaid value drawn down per request. You pay the upstream provider's token price with no markup added. Each request deducts credits based on the tokens used by the model you route to. Token pricing varies by model and provider.
How does the on-demand credit differ mechanically from the AI Gateway credit?
On-demand credit lets you top up and draw down per request as usage happens, with no upfront commitment. AI Gateway credit is arranged through a private offer for negotiated pricing. Both meter the same per-request token usage; the difference is how you purchase and commit.
Am I charged extra when a request fails over to another provider?
You pay the token price for the model that actually serves your request. If a provider degrades, the Gateway routes to the same model on another provider. You draw down credits for whichever provider fulfills the request, with no added platform fee.
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SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Fast, Predictable Deploys with a Dead-Simple CLI Workflow
Reviewed on Aug 27, 2026
Review provided by G2
What do you like best about the product?
Vercel is what lets a small marketing-run engineering effort ship and run real production apps without a dedicated DevOps person. The CLI workflow is dead simple once authenticated: I run staging and production as two separate Vercel projects pointed at the same codebase, deploy staging first, verify, then push the same build to prod with one command. For a Next.js app like our internal lead-routing dashboard that our sales team relies on daily, deploys are fast and predictable, and I can verify a change actually shipped by curling the live bundle right after. It's also become the backbone of a product we're turning into paid software: our plan to sell it to other companies is to stamp a private Vercel project (plus Supabase and n8n) per customer from one template, which only works because spinning up a new project is trivial.
What do you dislike about the product?
Vercel Cron has been our biggest source of friction. We had nightly scheduled jobs running as Vercel crons and ran into cold starts and occasional silent failures that were hard to notice until something downstream didn't happen. We ended up planning to move that scheduled work into Postgres (pg_cron on our database) instead, specifically to get away from cold starts and get failures that actually surface rather than fail quietly. Managing two parallel projects (staging and production) also means duplicating environment variables and secrets across both, which is easy to get out of sync if you're not careful.
What problems is the product solving and how is that benefiting you?
Without Vercel we'd need someone managing servers, SSL, and deploy pipelines just to keep a handful of internal apps online, which isn't realistic for a marketing department building its own tools. Instead I can go from a Next.js app on my machine to a live URL reps and other departments actually use in minutes, and iterate on it safely by testing in a staging deployment before it ever touches production. The real payoff has been being able to build things like an internal lead-routing dashboard our sales team checks constantly, in-house instead of buying an off-the-shelf SaaS tool for it, and now we're extending that same setup into software we plan to sell externally, since replicating the whole stack per customer is just a matter of standing up a new Vercel project.
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What do you dislike about the product?
I sometimes face difficulty with the technical terms, like configuration and environment variables, but I usually sort it out easily by asking for help from Claude or ChatGPT.
What problems is the product solving and how is that benefiting you?
Vercel makes it easy to deploy and maintain websites, connecting smoothly with GitHub and databases without chaos. It offers automatic and fast deployments, saving me time. I've had no deployment issues like those I faced with other tools, even on the free version.
I like how Vercel makes deployment feel effortless. Everything is fast, clean, and developer-friendly. Features like instant previews and seamless Git integration make it much easier to test, share, and ship projects quickly
What do you dislike about the product?
The main thing I would improve is pricing transparency. As projects scale, it can be difficult to predict costs. Better usage insights and clearer limits would help developers manage their projects more easily
What problems is the product solving and how is that benefiting you?
Vercel solves the problem of making web deployment simple and efficient. Instead of spending time managing servers and infrastructure, I can focus on building and improving my applications. Features like automatic deployments, Git integration, and preview environments make testing and releasing changes much faster. It saves time, reduces complexity, and helps me deliver projects more confidently.
Satya prakash t.
Simple, Fast, and Reliable for Web Deployment
Reviewed on Aug 24, 2026
Review provided by G2
What do you like best about the product?
What I like most about Vercel is how simple it makes deploying and managing web projects. I can connect my GitHub repository, push changes, and Vercel automatically builds and deploys the latest version. The deployment process is fast, and the dashboard makes it easy to check builds, logs, domains, and deployment status. For my React and frontend projects, it has saved me a lot of time compared to managing hosting and deployment manually.
What do you dislike about the product?
The main thing I dislike about Vercel is that the pricing can become a concern as a project grows, especially when usage increases. Some advanced features and higher usage limits can feel expensive for students or small projects. I also feel that debugging deployment or build issues can sometimes take a bit of time for beginners because the logs can be technical. Overall, the platform is great, but clearer guidance and more student-friendly pricing would make it even better
What problems is the product solving and how is that benefiting you?
Before using Vercel, deploying my projects and managing hosting, domains, builds, and updates required more manual work. Vercel solves this by making deployment closely connected with GitHub, so I can push code and have a new version deployed automatically. This saves me a lot of time, especially when I am working on multiple React and frontend projects. It also gives me deployment previews, build logs, and easy rollback options, which makes testing and fixing issues much easier. As a student, the biggest benefit for me is being able to focus more on building the project instead of spending time managing infrastructure.
Harsh G.
Vercel Delivers Really Fast Hosting Across Technologies
Reviewed on Aug 21, 2026
Review provided by G2
What do you like best about the product?
Vercel provides really fast hosting for any local-site website on our system, regardless of which technology we use.
What do you dislike about the product?
Vercel can sometimes be slow, especially when I’m uploading a large project or using more complex technology. During the upload it may show an error, even though there isn’t actually an issue, since the same web app runs fine locally.
What problems is the product solving and how is that benefiting you?
Vercel solves the problem of having to buy web space to host our website, and it provides cloud storage for our projects through GitHub.