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
At a glance
| Attribute | Modal | Runloop |
|---|---|---|
| Category (differs) | Inference | Infra |
| Pricing | FREEMIUM | FREEMIUM |
| License | Proprietary | Proprietary |
| Deployment | Cloud | Cloud |
| Platforms (differs) | API, CLI | API, CLI, Web |
| Model support | Model-agnostic | Model-agnostic |
| Vendor (differs) | Modal Labs | Runloop AI, Inc. |
| Capabilities (differs) |
|
|
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
When to pick which
Runloop leans on Sandboxed code execution as a headline capability; Modal treats it as secondary.
- Sandboxed code execution (primary capability)
They also differ on:
- Platforms
- API, CLI · API, CLI, Web
Their capability lists differ in recorded depth — compare the full lists above before deciding.