Normalized comparison

Google Cloud Run vs Vercel Limits

Cloud Run exposes container-level concurrency and a 60-minute request ceiling; Vercel emphasizes framework-integrated functions with plan and runtime eligibility.

Verified Aug 22, 2026Google Cloud RunVercel
Values are comparable only within the scope shown. Runtime, plan, model, invocation mode, and account-specific capacity can change the effective result.

Quick comparison

CriterionGoogle Cloud RunVercelComparability note
Maximum request/function durationGoogle Cloud Run60 minutesCloud Run servicesGoogle CloudVercel1,800 seconds (30 minutes)Pro and EnterpriseVercelVercel's value is an opt-in beta maximum for eligible runtimes; Cloud Run's is a service request timeout.
HTTP/function payloadGoogle Cloud Run32 MiB request; 32 MiB non-streamed responseHTTP/1 servicesGoogle CloudVercel4.5 MBPayloads over the documented limit return FUNCTION_PAYLOAD_TOO_LARGE with status 413.VercelCloud Run HTTP/2 and streaming caveats do not map directly to Vercel's Function body cap.

Which is best for your requirement?

Choose Google Cloud Run when

Its documented maximum request/function duration scope fits your measured workload and the caveats shown in the comparison.

Choose Vercel when

Its documented execution or account model better matches the exact requirement rather than a vendor-wide headline.

Validate before migration

Test payload, duration, throughput, concurrency, failure behavior, billing scope, and recovery with representative traffic.

Validate the decision with your workload

Before choosing between Google Cloud Run and Vercel, reproduce the comparison with the exact plans, models, regions, runtimes, and invocation paths you intend to operate. The reviewed rows cover maximum request/function duration and http/function payload; they do not turn different pricing, reliability, developer experience, or ecosystem tradeoffs into one universal score.

  1. Capture representative request sizes, token usage, duration, concurrency, storage, and failure behavior at realistic percentiles.
  2. Test the boundary and the recovery path on both candidates, including throttling, timeouts, partial failure, retries, and cost controls.
  3. Record which scoped observation drove the choice and recheck its official source before migration or a major traffic increase.

Official sources

Related

Inspect the underlying limits