Paid tool

Modal

Serverless high-performance infrastructure for running CPU, GPU, and data-intensive compute.

Visitmodal.com
Intro

What is Modal?

Modal (developed by Modal Labs) is a high-performance serverless infrastructure platform built to run CPU, GPU, and data-intensive compute at scale. While alternative solutions like Baseten or Fireworks AI focus on hosting pre-packaged model APIs, Modal AI is built for developers who want to bring their own Python code and run it without managing complex cloud infrastructure. The platform features a custom Rust-based container stack designed for sub-second container starts, allowing users to scale resources up instantly. Whether you are running model evaluations, fine-tuning large systems like GLM 5, or running batch processing workloads, the platform manages the compute layer. Developers can also take advantage of Modal Sandboxes to securely execute generated code, and dynamically allocate custom Modal GPU instances on demand.

Modal at a glance
Free plan with $30/mo credit, Team from $250/mo plus compute988K monthly visitsPaid access
Pricing

Modal Pricing Plans

Compare Modal free options, Modal paid pricing plans, and usage notes before you choose the best way to use this AI tool in 2026.

Free plan with $30/mo credit, Team from $250/mo plus compute

$0/month + compute

Designed for small teams and independent developers. Includes $30/month of free compute credits, up to 3 workspace seats, 100 containers, and up to 10 GPU concurrency.

$250/month + compute

Designed for startups and scaling organizations. Includes $100/month of free compute credits, unlimited seats, 1000 containers, up to 50 GPU concurrency, custom domains, and static IP proxies.

Custom

Designed for organizations requiring dedicated support and advanced compliance. Features volume-based pricing, custom GPU concurrency limits, Okta SSO, audit logs, HIPAA compatibility, and private Slack support.

Pricing updated:Jun 11, 2026

Features

Modal AI Features

Sub-second container starts powered by a custom Rust-based stackZero configuration files, with environment and hardware requirements defined in Python codeInstant autoscaling to hundreds of GPUs and back down to zeroBuilt-in debugging tools, including interactive shells and breakpointsComprehensive persistent storage solutions such as network volumes, key-value stores, and queues
Pros & Cons

Modal Pros and Cons

Pros

  • Serverless pricing model ensures you only pay for active compute down to the second
  • No cost for idle resources, reducing overall GPU expenses
  • Robust developer experience with seamless local-to-cloud transition
  • Generous monthly free tier for testing and personal projects

Limitations

  • Requires structuring code around the platform's specific Python decorator paradigm
  • Cold boot times, although optimized, are still present when spinning up from zero instances
  • Using non-standard regions incurs a pricing markup

Modal FAQ

According to the official Modal pricing guidelines, the platform uses a serverless model where you are billed for exact compute usage by the second. There are no base charges for idle resources. Additionally, Modal Labs offers a Starter tier that includes $30 of free compute credits every month, which can be applied to both CPU and Modal GPU tasks.