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Modal vs Runloop

A side-by-side comparison of Modal and Runloop, drawn from Ignaite's continuously-verified listings.

Compared from listings verified as of

Modal

Inference

Serverless GPUs. Run training, inference, batch jobs from Python.

View Modal

Runloop

Infra

Cloud Devboxes and benchmarks for running AI coding agents at scale.

View Runloop

At a glance

Feature comparison of Modal and Runloop
AttributeModalRunloop
Category (differs)InferenceInfra
PricingFREEMIUMFREEMIUM
LicenseProprietaryProprietary
DeploymentCloudCloud
Platforms (differs)API, CLIAPI, CLI, Web
Model supportModel-agnosticModel-agnostic
Vendor (differs)Modal LabsRunloop AI, Inc.

The honest brief

Modal

Define GPU infra in Python decorators with 2-4s cold starts — no YAML, Dockerfiles, or managed-stack lock-in.

  • Python-decorator infra, no YAML/Dockerfiles
  • Scale-to-zero, pay only when running
  • Scales to hundreds of GPUs
  • Free monthly starter credits
  • SDK lock-in; migrating means rewriting
  • No managed vLLM/TensorRT setup
  • Costs climb under heavy usage
  • Billing hard to predict

Runloop

Pairs on-demand coding-agent Devboxes with a public benchmarking suite, so you can both run agents and measure them on one platform.

  • Isolated cloud sandboxes for agent code
  • Scales to thousands of parallel Devboxes
  • Full filesystem, build-tool, compiler access
  • $50 in free starter credits
  • Enterprise VPC + compliance options
  • Usage-based pricing can be hard to forecast
  • Aimed at developers, not end users
  • Proprietary, no self-host option
Modal detailsRunloop details