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Modal vs Nscale: Complete Comparison (2026)

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

Last updated: November 2026

Modal logo

Modal

6.7/10

Winner

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.

Nscale logo

Nscale

6.3/10

Nscale is an AI-focused cloud provider that rents dedicated GPU clusters, managed Kubernetes and serverless model inference to AI developers and large enterprises.

Feature-by-Feature Comparison

Feature
Modal logo
Modal
Nscale logo
Nscale
Scores
Overall Rating6.7/106.3/10
Analytics6/104/10
Cost5/107/10
Customization7/107/10
Ease of Use8/106/10
Integration6/106/10
Scalability9/109/10
Security7/106/10
Support6/105/10
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 WordPressNot listed
Multiple Regions
Object StorageNot listed
Serverless Functions
Dedicated Servers
Cloud ComputeNot listed
Shared HostingNot listed
Managed KubernetesNot listed

Modal vs Nscale 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 (Nscale does not)
  • Higher Analytics score (6/10 vs 4/10)
  • Higher Ease of Use score (8/10 vs 6/10)
  • Better fit for startups (9/10 vs 6/10)
  • Better fit for developers (9/10 vs 7/10)

Nscale logo
Why choose Nscale

  • Higher Cost score (7/10 vs 5/10)
  • Includes Dedicated Servers, which Modal lacks

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.

Nscale logo
Nscale

Pros

  • The serverless inference API is OpenAI-compatible, so existing SDK code can switch over with minimal changes.
  • New inference users get 5 USD of free credit and pay only per token, with no commitment.
  • Its own data centers in Norway and the UK give European buyers a sovereignty-friendly option.
  • Billions of USD in 2026 funding support very large GPU cluster buildouts.

Cons

  • There is no public price list for dedicated GPU clusters, so cost comparison means going through sales.
  • It offers no general web hosting services such as WordPress, CDN or managed databases.
  • Independent user reviews are almost nonexistent: directory sites list no ratings.
  • The company is young (founded 2024) and reported heavy losses in the first half of 2026.

Not sold on either?

Frequently Asked Questions

Modal scores higher on our AI Software criteria: 6.7/10 against 6.3/10 for Nscale. The largest gap is in Analytics: 6/10 for Modal and 4/10 for Nscale.

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

Modal is the better fit for startups: we rate it 9/10 for them, against 6/10 for Nscale.

Nscale has Dedicated Servers, which Modal lacks.

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