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Modal vs Vast.ai

A side-by-side comparison of Modal and Vast.ai, two Inference tools, 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

Vast.ai

Inference

GPU cloud marketplace for renting AI compute.

View Vast.ai

At a glance

Feature comparison of Modal and Vast.ai
AttributeModalVast.ai
CategoryInferenceInference
Pricing (differs)FREEMIUMPAID
LicenseProprietaryProprietary
DeploymentCloudCloud
Platforms (differs)API, CLIWeb, CLI, API
Model supportModel-agnosticModel-agnostic
Vendor (differs)Modal LabsVast.ai

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

Vast.ai

Marketplace pricing: independent hosts compete, so GPUs (incl. H100s) often run well below first-party clouds like AWS or GCP.

  • Often the cheapest GPUs via marketplace
  • Per-second billing, $5 minimum
  • On-demand, spot, and reserved options
  • Large catalog of GPU types
  • Host quality and reliability vary
  • Not a managed inference platform
  • Interruptible instances can be reclaimed