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Compare GPU and LLM inference API pricing between Google Cloud and Velokey. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Google Cloud Price | Velokey 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 • | ||||
H200 141GB VRAM • Google Cloud | 8x GPU | Not Available | — | |
H200 141GB VRAM • | ||||
L4 24GB VRAM • Google Cloud | 2x GPU | Not Available | — | |
L4 24GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Google Cloud | Not Available | — | ||
RTX PRO 6000 96GB 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 • | ||||
H200 141GB VRAM • Google Cloud | 8x GPU | Not Available | — | |
H200 141GB VRAM • | ||||
L4 24GB VRAM • Google Cloud | 2x GPU | Not Available | — | |
L4 24GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Google Cloud | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
| Model ↑ | Google Cloud | Velokey | Input Diff ↕ |
|---|---|---|---|
Anthropic | Not available | $4.00 in $20.00 out | — |
Anthropic | Not available | $0.400 in $2.00 out | — |
Anthropic | Not available | $2.00 in $10.00 out | — |
Anthropic | Not available | $2.00 in $10.00 out | — |
Anthropic | Not available | $2.00 in $10.00 out | — |
Anthropic | Not available | $2.00 in $10.00 out | — |
Anthropic | Not available | $2.00 in $10.00 out | — |
Anthropic | Not available | $1.20 in $6.00 out | — |
Anthropic | Not available | $1.20 in $6.00 out | — |
Anthropic | Not available | $1.20 in $6.00 out | — |
DeepSeek | Not available | $0.140 in $0.280 out | — |
DeepSeek | Not available | $0.435 in $0.870 out | — |
Google | $0.150 in $0.600 out | Not available | — |
Google | $0.075 in $0.300 out | Not available | — |
Google | $0.300 in $2.50 out | Not available | — |
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.
Access text, image, and video models through one API.
Existing OpenAI SDK clients work after changing the base URL to api.velokey.ai/v1 and swapping the API key.
Automatically routes requests to the best available model.
Switches to backup routes in case of provider failure.
Pay only for what is used based on API calls.
Monitor request status and usage metrics from a single console.
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.
Usage-based billing with no plan minimums or subscriptions.
Language models are billed per input and output token.
Image models are billed per generated image and video models per second of output.
Usage is denominated in credits, quoted alongside their USD equivalent on the pricing page.
New accounts receive free credits that do not expire.
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 and generate an API key from the Velokey console.
Point your existing SDK to the Velokey endpoint.
Choose from available text, image, and video models for use.
40+ regions and 120+ zones worldwide.
Role-based (free), Standard, Enhanced and Premium support plans. Comprehensive documentation, community forums, and training resources.
Documentation and integration guides, Discord community, Reddit, GitHub, and email support at support@velokey.ai