Small API
2 vCPU, 4GB RAM, 24/7
Sealos 86% lower
As AI technology advances, choosing the right platform is crucial for your team's speed, governance, and long-term success. Both Sealos and Vercel have their strengths. The sections below compare them across developer experience, scalability, and total cost of ownership.
As AI technologies evolve, delivering and scaling applications has become essential for powering modern businesses, from AI startups to large-scale enterprises. There are various solutions available, including comprehensive cloud operating systems, managed Platform-as-a-Service (PaaS), and traditional IaaS. Selecting the right platform is crucial for your team's velocity, governance, and long-term success.
Sealos and Vercel both bring unique strengths to application delivery, each with its own capabilities and limitations. The best choice depends on your specific use case and requirements. In the following sections, we'll compare both platforms regarding developer experience, scalability, and total cost of ownership, helping you determine the most suitable option for your needs—even if it's not us.
| Infrastructure | Standard Kubernetes | Proprietary Edge/Serverless Platform |
| Source Available | 100% source-available (Apache 2.0) | |
| Deployment Options | Cloud Self-hosted Hybrid | Cloud only |
| Free Trial | 7 days, 4 vCPU + 4GB (no credit card) | Hobby free tier (4 Active CPU hrs + 360GB-hrs memory) |
| Max vCPU per Service | Plan-based (4-64 vCPU) | Default 1 vCPU/function (Fluid Compute for more) |
| Max RAM per Service | Plan-based (4-128 GB) | Default 2GB; higher via Fluid Compute |
| Custom Domains | Unlimited | Hobby: 50/project; Pro: higher limits |
| Replicas per Service | Unlimited (within quota) | Auto-scaled instances (no manual replica caps) |
| Cron Jobs | Unlimited | Hobby: 2/day; Pro: 40/account (20/project) |
| Log Retention | Configurable | Short-term logs; up to 30d with Observability Plus |
| Scale-to-Zero | ||
| App Marketplace |
Cost evidence
Estimates use the listed average CPU and RAM for a 30-day month. Storage and egress are excluded unless a platform note says otherwise.
Small API
2 vCPU, 4GB RAM, 24/7
Medium App
8 vCPU, 16GB RAM, 24/7
Production Stack
16 vCPU, 32GB RAM, 24/7
2 vCPU, 4GB RAM, 24/7
Sealos 86% lower
8 vCPU, 16GB RAM, 24/7
Sealos 83% lower
16 vCPU, 32GB RAM, 24/7
Sealos 65% lower
Plan prices include the resource package listed on the Sealos pricing page.
Vercel calculation: Active CPU @$0.128/hr (iad1) x vCPU-hrs; Provisioned Memory, bandwidth, Blob/KV/Postgres usage, and Pro seats ($20/user/mo) not included. Pricing varies by region.
Sources:Sealos Pricing·Vercel Pricing
Sealos is an AI-native Cloud Operating System built on Kubernetes that unifies the entire application lifecycle, from development in Cloud Development Environments (CDEs) to production deployment and management. It is perfect for building and scaling modern AI applications, SaaS platforms, managed databases (MySQL, PostgreSQL, Redis, MongoDB) and complex microservice architectures. The platform is 100% source-available, and for production you can choose either a fully managed cloud service or self-host on your own infrastructure.
Vercel is a frontend-first platform ("Frontend Cloud") optimized for frameworks like Next.js. It automates builds and deployments from Git, serves static assets on a global Edge Network, and runs backend logic through serverless and edge functions. Vercel excels at preview environments and fast front-end delivery, with usage-based pricing for compute, bandwidth, and storage add-ons (Postgres, KV, Blob).
Predictable costs for 24/7 production workloads
Cloud Development Environment (CDE) for consistent dev/prod environments
Self-hosting option for data sovereignty or compliance (100% source-available)
Kubernetes-native control with full API access
100+ ready-to-deploy apps from the marketplace
Enterprise multi-tenancy with granular RBAC and resource quotas
Have frontend-heavy or intermittent workloads that benefit from scale-to-zero billing
Prefer usage-based billing tied to Active CPU/Provisioned Memory for spiky traffic
Need the fastest path from Git to a globally cached URL for web frontends
Don't need Kubernetes-level infrastructure control or long-running stateful services
Run mostly stateless, event-driven functions with low average utilization
Want Preview Deployments for every pull request and built-in Edge delivery
Everything you need to know about Sealos and Vercel.