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Compare GPU and LLM inference API pricing between Google Cloud and Groq. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Google Cloud Price | Groq Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • Google Cloud | 16x GPU | Not Available | — | |
A100 SXM 80GB VRAM • | ||||
B200 180GB VRAM • Google Cloud | 8x GPU | Not Available | — | |
B200 180GB VRAM • | ||||
H100 SXM 80GB VRAM • Google Cloud | 8x GPU | Not Available | — | |
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Google Cloud | 8x GPU | Not Available | — | |
H200 141GB VRAM • | ||||
L4 24GB VRAM • Google Cloud | Not Available | — | ||
L4 24GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Google Cloud | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
Tesla T4 16GB VRAM • Google Cloud | Not Available | — | ||
Tesla T4 16GB VRAM • | ||||
Tesla V100 32GB VRAM • Google Cloud | Not Available | — | ||
Tesla V100 32GB VRAM • | ||||
A100 SXM 80GB VRAM • Google Cloud | 16x GPU | Not Available | — | |
A100 SXM 80GB VRAM • | ||||
B200 180GB VRAM • Google Cloud | 8x GPU | Not Available | — | |
B200 180GB VRAM • | ||||
H100 SXM 80GB VRAM • Google Cloud | 8x GPU | Not Available | — | |
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Google Cloud | 8x GPU | Not Available | — | |
H200 141GB VRAM • | ||||
L4 24GB VRAM • Google Cloud | Not Available | — | ||
L4 24GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Google Cloud | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
Tesla T4 16GB VRAM • Google Cloud | Not Available | — | ||
Tesla T4 16GB VRAM • | ||||
Tesla V100 32GB VRAM • Google Cloud | Not Available | — | ||
Tesla V100 32GB VRAM • | ||||
| Model ↑ | Google Cloud | Groq | Input Diff ↕ |
|---|---|---|---|
Google | $0.750 in $3.75 out | Not available | — |
Google | $0.750 in $3.75 out | Not available | — |
OpenAI | Not available | $0.150 in $0.600 out | — |
OpenAI | Not available | $0.075 in $0.300 out | — |
Alibaba | Not available | $0.600 in $3.00 out | — |
Alibaba | Not available | $0.800 in $4.00 out | — |
Explore how these providers compare to other popular GPU cloud services
Compare Google Cloud with another leading provider
Compare Google Cloud with another leading provider
Compare Google Cloud with another leading provider
Compare Google Cloud with another leading provider
Compare Google Cloud with another leading provider
Compare Google Cloud with another leading provider
Scalable virtual machines with a wide range of machine types, including GPUs.
Managed Kubernetes service for deploying and managing containerized applications.
Event-driven serverless compute platform.
Fully managed serverless platform for containerized applications.
Unified ML platform for building, deploying, and managing ML models.
Spare compute capacity at discounted Spot prices, suitable for fault-tolerant workloads that can be interrupted.
Custom Language Processing Units run inference, with 256 LPUs and 128 GB of on-chip SRAM per rack
Drop-in replacement for the OpenAI API at api.groq.com/openai/v1, including a Responses API
GroqMetal bare-metal infrastructure, GroqCore inference stack, and GroqAssured enterprise governance, each including the layers below
Text generation plus speech-to-text, text-to-speech, OCR and image recognition, and content moderation models
Compound systems that combine models with web search, code execution, remote MCP tools, and Google Workspace connectors
Performance, flex, and batch processing tiers, plus prompt caching, structured outputs, and LoRA inference
Offers customizable virtual machines running in Google's data centers.
Managed Kubernetes service for running containerized applications.
Serverless compute platform for running code in response to events.
Pay for vCPUs, GPUs, and memory with a one-minute minimum and per-second billing thereafter, with no long-term commitments.
Automatic discounts for running instances for a significant portion of the month.
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.
Spend-based commitments that apply across eligible machine families and regions rather than to specific resources.
Spare capacity at discounted Spot prices for fault-tolerant workloads that can be preempted.
Token-based pricing with separate input/output rates; audio models are billed per hour and speech models per character
Alternative service tiers for throughput-tolerant or bursty workloads instead of the standard on-demand tier
Dedicated capacity and enterprise-only models quoted through sales
Rate-limited free access for development and testing
Set up a project in the Google Cloud Console.
Set up a billing account to pay for resource usage.
Select Compute Engine, GKE, Cloud Functions, or Cloud Run based on your needs.
Launch a VM instance, configure a Kubernetes cluster, or deploy a function/application.
Use the Cloud Console, command-line tools, or APIs to manage your resources.
Sign up at console.groq.com with email or OAuth
Generate an API key from the console dashboard
Use the OpenAI-compatible endpoint with your preferred model
40+ regions and 120+ zones worldwide.
Role-based (free), Standard, Enhanced and Premium support plans. Comprehensive documentation, community forums, and training resources.
13 data centers across four continents, including sites in the US (Liberty Lake, St Paul, Dallas, Houston), Canada (Kamloops, Vaudreuil-Dorion, Calgary), Finland, the UK, Australia, and Saudi Arabia
Documentation and API reference, developer community, production readiness guides, and enterprise onboarding via sales