What is the difference between Google Cloud and Modal?

Google Cloud and Modal are both cloud GPU providers offering different pricing models, features, and GPU availability. Use our comparison tool to see real-time pricing and feature differences.

Which is cheaper: Google Cloud or Modal?

Pricing varies by GPU model and usage requirements. Check our real-time comparison table to find the best deals for your specific needs.

Can I switch between Google Cloud and Modal?

Yes, both providers offer flexible cloud GPU services. However, consider factors like data transfer costs, setup time, and specific features when switching between providers.

How many GPU models are available for comparison?

We track pricing for 2 different GPU models across both Google Cloud and Modal, with 0 models available from both providers.

Google Cloud vs Modal GPU Cloud Pricing 2026

GPU Pricing Comparison

Total GPUs: 2Both available: 0Google Cloud: 2Modal: 0

Showing 2 of 2 GPUs

Last updated: 5/12/2026, 10:20:38 PM

GPU Model ↑	Google Cloud Price	Modal Price	Price Diff ↕	Sources
Tesla T4 16GB VRAM • Google Cloud	$0.16/hr★ Best	Not Available	—	Google Cloud
Tesla T4 16GB VRAM • Google Cloud $0.16/hour Updated: 5/11/2026 ★Best Price Not Available Google Cloud
Tesla V100 32GB VRAM • Google Cloud	$1.12/hr★ Best	Not Available	—	Google Cloud
Tesla V100 32GB VRAM • Google Cloud $1.12/hour Updated: 5/11/2026 ★Best Price Not Available Google Cloud

Tesla T4 16GB VRAM • Google Cloud	$0.16/hr★ Best	Not Available	—	Google Cloud
Tesla T4 16GB VRAM • Google Cloud $0.16/hour Updated: 5/11/2026 ★Best Price Not Available Google Cloud
Tesla V100 32GB VRAM • Google Cloud	$1.12/hr★ Best	Not Available	—	Google Cloud
Tesla V100 32GB VRAM • Google Cloud $1.12/hour Updated: 5/11/2026 ★Best Price Not Available Google Cloud

Features Comparison

Google Cloud

Compute Engine
Scalable virtual machines with a wide range of machine types, including GPUs.
Google Kubernetes Engine (GKE)
Managed Kubernetes service for deploying and managing containerized applications.
Cloud Functions
Event-driven serverless compute platform.
Cloud Run
Fully managed serverless platform for containerized applications.
Vertex AI
Unified ML platform for building, deploying, and managing ML models.
Preemptible VMs
Short-lived compute instances at a significant discount, suitable for fault-tolerant workloads.

Modal

Serverless GPUs
Run Python functions on NVIDIA GPUs without provisioning instances; cold starts in seconds
Per-Second Billing
Pay for actual GPU runtime at sub-minute granularity, with scale-to-zero by default
Container-Native
Define environments in code, with automatic image building and caching
Wide GPU Catalog
From T4 and L4 through A100, L40S, H100, H200 and B200

Pros & Cons

Google Cloud

Advantages

Flexible pricing options, including sustained use discounts
Strong AI and machine learning tools (Vertex AI)
Good integration with other Google services
Cutting-edge Kubernetes implementation (GKE)

Considerations

Limited availability in some regions compared to AWS
Complexity in managing resources
Support can be costly

Modal

Advantages

Serverless model removes idle-instance costs
Per-second billing across the full GPU range
Strong fit for inference, batch jobs and ML pipelines

Considerations

Long-running, fixed-instance training is not the primary use case
Cold starts and storage limits require some application design
No bare-metal access; workloads run inside Modal's runtime

Compute Services

Google Cloud

Compute Engine

Offers customizable virtual machines running in Google's data centers.

Google Kubernetes Engine (GKE)

Managed Kubernetes service for running containerized applications.

Automated Kubernetes operations
Integration with Google Cloud services

Cloud Functions

Serverless compute platform for running code in response to events.

Automatic scaling and high availability
Pay only for the compute time consumed

Modal

Pricing Options

Google Cloud

On-Demand

Pay for compute capacity per hour or per second, with no long-term commitments.

Sustained Use Discounts

Automatic discounts for running instances for a significant portion of the month.

Committed Use Discounts

Save up to 57% with a 1-year or 3-year commitment to a minimum level of resource usage.

Preemptible VMs

Save up to 80% for fault-tolerant workloads that can be interrupted.

Modal

Per-Second GPU Billing

Charged per second of GPU runtime, with scale-to-zero when idle

Free Tier

Monthly free credits for experimentation and personal projects

Team and Enterprise Plans

Volume commitments and enterprise support for production deployments

Getting Started

Google Cloud

Get Started

1
Create a Google Cloud project
Set up a project in the Google Cloud Console.
2
Enable billing
Set up a billing account to pay for resource usage.
3
Choose a compute service
Select Compute Engine, GKE, Cloud Functions, or Cloud Run based on your needs.
4
Create and configure an instance
Launch a VM instance, configure a Kubernetes cluster, or deploy a function/application.
5
Manage resources
Use the Cloud Console, command-line tools, or APIs to manage your resources.

Modal

Get Started

1
Install the SDK
Run `pip install modal` and authenticate via the CLI
2
Define a function
Decorate a Python function with the desired GPU and image specification
3
Run or deploy
Invoke locally or deploy as a long-lived endpoint or scheduled job

Support & Global Availability

Google Cloud

Global Regions

40+ regions and 120+ zones worldwide.

Support

Role-based (free), Standard, Enhanced and Premium support plans. Comprehensive documentation, community forums, and training resources.

Modal

Global Regions

Multi-region availability across North America and Europe

Support

Documentation, community forum, and enterprise support for paid plans