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Daytona vs Modal

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

Compared from listings verified as of

Daytona

Infra

Secure, elastic sandboxes for running AI-generated code.

View Daytona

Modal

Inference

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

View Modal

At a glance

Feature comparison of Daytona and Modal
AttributeDaytonaModal
Category (differs)InfraInference
PricingFREEMIUMFREEMIUM
License (differs)Open coreProprietary
Deployment (differs)HybridCloud
PlatformsAPI, CLIAPI, CLI
Model supportModel-agnosticModel-agnostic
Vendor (differs)DaytonaModal Labs

The honest brief

Daytona

Boots an isolated sandbox with its own kernel and filesystem in under 90ms, so agents run untrusted code safely.

  • Sub-100ms sandbox start
  • Full isolated kernel + FS
  • SDKs in many languages
  • Open-source, self-host option
  • AGPL-3.0 may deter some
  • Infra to manage if self-hosted
  • Newer entrant

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
Daytona detailsModal details