b stack radar

Modal vs Runpod: Complete Comparison (2026)

An in-depth comparison of Modal and Runpod to help you choose the right tool for your business.

Last updated: November 2026

Modal logo

Modal

6.7/10

Modal is a serverless cloud platform that runs Python code on GPUs and CPUs with per-second billing, aimed at teams building and serving AI applications.

Runpod logo

Runpod

6.8/10

Winner

Runpod is a GPU cloud for AI teams, offering per-second GPU pods, autoscaling serverless inference endpoints, and multi-node instant clusters.

Feature-by-Feature Comparison

Feature
Modal logo
Modal
Runpod logo
Runpod
Scores
Overall Rating6.7/106.8/10
Integration6/106/10
Analytics6/105/10
Customization7/108/10
Ease of Use8/107/10
Support6/104/10
Cost5/108/10
Scalability9/108/10
Security7/107/10
Pricing
Free planYesNo
Cheapest paid plan$250/mo
Team
Contact for pricing
Estimated cost for 10 users$250/mo
Team
Contact for pricing
Features
API and CLI
Managed WordPress
Multiple Regions
Object StorageNot listed
Serverless Functions
Dedicated ServersNot listed
Cloud Compute
Shared Hosting
Uptime SLANot listed
Git DeploymentsNot listed

Modal vs Runpod cost by team size

The plan that fits each team size, billed monthly, before add-ons and usage charges. Each cost opens that tool's pricing calculator for the team size.

Which One Should You Choose?

Modal logo
Why choose Modal

  • Has a free plan (Runpod does not)
  • Higher Support score (6/10 vs 4/10)
  • Higher Analytics score (6/10 vs 5/10)

Runpod logo
Why choose Runpod

  • Higher Cost score (8/10 vs 5/10)
  • Higher Customization score (8/10 vs 7/10)

Pros & Cons

Modal logo
Modal

Pros

  • GPUs from the T4 up to the B300 are available without quota requests or reservations, and workloads can burst to thousands of containers.
  • Per-second billing and scale-to-zero mean idle bursty inference workloads cost nothing.
  • Python developers define infrastructure in code and deploy with a single CLI command, with no Kubernetes or Dockerfiles needed.
  • The free Starter plan includes $30 a month of compute, and startup and academic credit programs are available.
  • Sandboxes support large numbers of concurrent isolated environments for AI agents and untrusted code.

Cons

  • Always-on or steady workloads can cost more than reserved GPU rentals from providers such as RunPod or Lambda.
  • Containers stay billable for 60 seconds after the last request by default, and keep-warm settings are a common source of bill surprises.
  • Region pinning raises prices by 1.15 to 1.75 times, and non-preemptible execution by 3 times.
  • SSO, audit logs, and HIPAA support are limited to the custom-priced Enterprise plan.
  • Credits from AWS, GCP, or Azure cannot be applied to Modal usage.

Runpod logo
Runpod

Pros

  • Per-second billing with no ingress or egress fees keeps short experiments cheap.
  • Community Cloud GPUs cost far less than hyperscalers, for example an RTX 4090 at $0.34 per hour.
  • Serverless endpoints scale to zero, so spiky inference traffic costs nothing when idle.
  • A wide catalogue of more than 30 GPU models, including B200 and B300, across 31 regions.
  • Secure Cloud is backed by SOC 2 Type II and ISO 27001 compliance.

Cons

  • Community Cloud machines can drop out mid-job, and some users report pods that crash while billing continues.
  • GPU availability fluctuates, and listed GPUs can disappear before you launch.
  • Standard accounts have no published support response times or uptime SLA, and the SLA is limited to enterprise contracts.
  • Stopped pods pay double for volume disk, and deposited credits are non-refundable.
  • Serverless assumes Docker knowledge, and network volumes are tied to a single region.

Not sold on either?

Frequently Asked Questions

Runpod scores higher on our AI Software criteria: 6.8/10 against 6.7/10 for Modal. The largest gap is in Cost: 5/10 for Modal and 8/10 for Runpod.

Modal has a free plan; Runpod does not list one.

Related Comparisons