What is the difference between Google Cloud and OpenAI?

Google Cloud and OpenAI 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 OpenAI?

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 OpenAI?

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 5 different GPU models across both Google Cloud and OpenAI, with 0 models available from both providers.

Google Cloud vs OpenAI

Compare GPU and LLM inference API pricing between Google Cloud and OpenAI. Find the best rates for AI training, inference, and ML workloads.

Google Cloud

Provider 1

GPUs Available

Visit Website

OpenAI

Provider 2

GPUs Available

Visit Website

Comparison Overview

Total GPU Models

Google Cloud GPUs

OpenAI GPUs

Direct Comparisons

GPU Pricing Comparison

Total GPUs: 5Both available: 0Google Cloud: 5OpenAI: 0

Showing 5 of 5 GPUs

Last updated: 9/25/2026, 7:27:35 AM

GPU Model ↑	Google Cloud Price	OpenAI Price	Price Diff ↕	Sources
A100 SXM 80GB VRAM • Google Cloud	$1.22/hr★ Best 16x GPU	Not Available	—	Google Cloud
A100 SXM 80GB VRAM • Google Cloud $1.22/hour 16x GPU configuration Updated: 9/23/2026 ★Best Price Not Available Google Cloud
B200 180GB VRAM • Google Cloud	$4.95/hr★ Best 8x GPU	Not Available	—	Google Cloud
B200 180GB VRAM • Google Cloud $4.95/hour 8x GPU configuration Updated: 9/23/2026 ★Best Price Not Available Google Cloud
H200 141GB VRAM • Google Cloud	$4.65/hr★ Best 8x GPU	Not Available	—	Google Cloud
H200 141GB VRAM • Google Cloud $4.65/hour 8x GPU configuration Updated: 9/23/2026 ★Best Price Not Available Google Cloud
L4 24GB VRAM • Google Cloud	$0.60/hr★ Best 4x GPU	Not Available	—	Google Cloud
L4 24GB VRAM • Google Cloud $0.60/hour 4x GPU configuration Updated: 9/23/2026 ★Best Price Not Available Google Cloud
RTX PRO 6000 96GB VRAM • Google Cloud	$1.77/hr★ Best	Not Available	—	Google Cloud
RTX PRO 6000 96GB VRAM • Google Cloud $1.77/hour Updated: 9/23/2026 ★Best Price Not Available Google Cloud

A100 SXM 80GB VRAM • Google Cloud	$1.22/hr★ Best 16x GPU	Not Available	—	Google Cloud
A100 SXM 80GB VRAM • Google Cloud $1.22/hour 16x GPU configuration Updated: 9/23/2026 ★Best Price Not Available Google Cloud
B200 180GB VRAM • Google Cloud	$4.95/hr★ Best 8x GPU	Not Available	—	Google Cloud
B200 180GB VRAM • Google Cloud $4.95/hour 8x GPU configuration Updated: 9/23/2026 ★Best Price Not Available Google Cloud
H200 141GB VRAM • Google Cloud	$4.65/hr★ Best 8x GPU	Not Available	—	Google Cloud
H200 141GB VRAM • Google Cloud $4.65/hour 8x GPU configuration Updated: 9/23/2026 ★Best Price Not Available Google Cloud
L4 24GB VRAM • Google Cloud	$0.60/hr★ Best 4x GPU	Not Available	—	Google Cloud
L4 24GB VRAM • Google Cloud $0.60/hour 4x GPU configuration Updated: 9/23/2026 ★Best Price Not Available Google Cloud
RTX PRO 6000 96GB VRAM • Google Cloud	$1.77/hr★ Best	Not Available	—	Google Cloud
RTX PRO 6000 96GB VRAM • Google Cloud $1.77/hour Updated: 9/23/2026 ★Best Price Not Available Google Cloud

LLM API Pricing Comparison

Total models: 41Both available: 0Google Cloud: 13OpenAI: 28

Showing 15 of 41 models

Prices per 1M tokens · Last updated: 9/25/2026, 7:27:35 AM

Model ↑	Google Cloud	OpenAI	Input Diff ↕
Gemini 2.0 Flash Google	$0.150 in $0.600 out	Not available	—
Gemini 2.0 Flash-Lite Google	$0.075 in $0.300 out	Not available	—
Gemini 2.5 Flash Google	$0.300 in $2.50 out	Not available	—
Gemini 2.5 Flash Lite Google	$0.100 in $0.400 out	Not available	—
Gemini 2.5 Pro Google	$1.25 in $10.00 out	Not available	—
Gemini 3.1 Flash Image Google	$0.500 in $3.00 out	Not available	—
Gemini 3.1 Flash Lite Google	$0.250 in $1.50 out	Not available	—
Gemini 3.1 Pro Google	$2.00 in $12.00 out	Not available	—
Gemini 3.5 Flash Google	$1.50 in $9.00 out	Not available	—
Gemini 3.5 Flash-Lite Google	$0.300 in $2.50 out	Not available	—
Gemini 3.6 Flash Google	$0.750 in $3.75 out	Not available	—
Gemini 3.7 Flash Google	$0.750 in $3.75 out	Not available	—
Gemini 3.8 Flash Google	$0.750 in $3.75 out	Not available	—
GPT-3.5 Turbo OpenAI	Not available	$0.500 in $1.50 out	—
GPT-4.1 OpenAI	Not available	$2.00 in $8.00 out	—

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.
Spot VMs
Spare compute capacity at discounted Spot prices, suitable for fault-tolerant workloads that can be interrupted.

OpenAI

GPT Model Family
Access to GPT-4o, GPT-4o mini, and other frontier language models
Reasoning Models
o1 and o3 series models with advanced reasoning capabilities for complex problems
Multimodal Capabilities
Process text, images, audio, and video inputs with unified models
Function Calling
Structured outputs and tool use for building agents and workflows
Assistants API
Build AI assistants with code interpreter, file search, and custom tools
Fine-Tuning
Customize models on your own data for specialized use cases

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
Mature managed Kubernetes offering (GKE)

Considerations

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

OpenAI

Advantages

Industry-leading model performance and accuracy
Extensive training data providing unmatched breadth across languages and domains
Developer-friendly SDKs for Python, JavaScript, and other languages
Comprehensive documentation and large community

Considerations

Higher cost compared to open-source alternatives
Token usage can scale quickly with conversation threads
Data privacy concerns for sensitive applications

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

OpenAI

Pricing Options

Google Cloud

On-Demand

Pay for vCPUs, GPUs, and memory with a one-minute minimum and per-second billing thereafter, with no long-term commitments.

Sustained Use Discounts

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

Resource-based Committed Use Discounts

Discounted rates in exchange for a 1-year or 3-year commitment to a minimum level of resource usage in a region, and combinable with reservations.

Compute Flexible Committed Use Discounts

Spend-based commitments that apply across eligible machine families and regions rather than to specific resources.

Spot VMs

Spare capacity at discounted Spot prices for fault-tolerant workloads that can be preempted.

OpenAI

Pay-per-token

Charged based on tokens processed for both input and output

Batch API

50% discount for asynchronous batch processing

Prompt Caching

Discounts for recently seen input tokens

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.

OpenAI

Get Started

1
Create an account
Sign up at platform.openai.com
2
Generate API key
Create an API key in the dashboard and store it securely
3
Install SDK
Install the OpenAI SDK for Python, JavaScript, or your preferred language
4
Make your first call
Use the SDK to call OpenAI models for text generation or other tasks

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.

OpenAI

Global Regions

Global availability with data residency options in US, Europe, UK, Canada, Japan, South Korea, Singapore, India, Australia, and UAE

Support

Documentation, Help Center, Developer Forum, email support, and enterprise support plans with dedicated account managers