Pricing as magical as our product
With Modal, you always pay for what you use and nothing more. You never pay for idle resources — just actual compute time, by the CPU cycle.
Compute costs
GPU Tasks
Nvidia B200
$0.001736 / sec
Nvidia H200
$0.001261 / sec
Nvidia H100
$0.001097 / sec
Nvidia A100, 80 GB
$0.000694 / sec
Nvidia A100, 40 GB
$0.000583 / sec
Nvidia L40S
$0.000542 / sec
Nvidia A10G
$0.000306 / sec
Nvidia L4
$0.000222 / sec
Nvidia T4
$0.000164 / sec
CPU
Physical core
(2 vCPU equivalent)
$0.0000131 / core / sec
*minimum of 0.125 cores per container
Memory
$0.00000222 / GiB / sec
$0
+
compute / month
Built for small teams and independent developers looking to level up.
$30 / month free credits
3 workspace seats included
100 containers + 10 GPU concurrency
Crons and web endpoints (limited)
Real-time metrics and logs
Region selection
$250
+
compute / month
Built for startups and larger organizations looking to scale quickly.
$100 / month free credits
Unlimited seats
1000 containers + 50 GPU concurrency
Unlimited crons and web endpoints
Custom domains
Static IP proxy
Deployment rollbacks
Custom
For organizations prioritizing security, support, and everlasting confidence.
Volume-based pricing
Unlimited seats
Custom GPU concurrency
Support via private Slack
Personalized integration help
Audit logs, Okta SSO, and HIPAA
Why serverless?
Serverless pricing vs. traditional cloud pricing
Modal is serverless, which means that we instantly autoscale up and down for you based on request volume. For spiky or unpredictable workloads, we are more cost-effective than fixed on-demand/reserved compute.
Traditional cloud: $5,400
75 GPUs * 24 hrs * $3 / GPU-hr
Modal serverless cloud: $4,740
Avg 50 GPUs * 24 hrs * $3.95 / GPU-hr
Get up to $50k in free credits
Startups and academic researchers can receive up to $50k in free credits on Modal. The credits can be used on both GPU and CPU compute.
Use committed spend on Modal
You can use committed AWS spend on Modal via AWS Marketplace. Coming soon to Google Cloud Marketplace.
Frequently asked questions
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Use Cases