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Compare GPU and LLM inference API pricing between Crusoe and Velokey. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Crusoe Price | Velokey Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • Crusoe | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Crusoe | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
H100 SXM 80GB VRAM • Crusoe | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Crusoe | Not Available | — | ||
H200 141GB VRAM • | ||||
L40S 48GB VRAM • Crusoe | Not Available | — | ||
L40S 48GB VRAM • | ||||
MI300X 192GB VRAM • Crusoe | Not Available | — | ||
MI300X 192GB VRAM • | ||||
A100 PCIE 40GB VRAM • Crusoe | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Crusoe | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
H100 SXM 80GB VRAM • Crusoe | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Crusoe | Not Available | — | ||
H200 141GB VRAM • | ||||
L40S 48GB VRAM • Crusoe | Not Available | — | ||
L40S 48GB VRAM • | ||||
MI300X 192GB VRAM • Crusoe | Not Available | — | ||
MI300X 192GB VRAM • | ||||
| Model ↑ | Crusoe | 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 | $0.140 in $0.280 out | $0.140 in $0.280 out | $0.0000 |
DeepSeek | $1.74 in $3.48 out | $0.435 in $0.870 out | $1.30 |
Google | Not available | $0.200 in $1.20 out | — |
Google | Not available | $0.800 in $4.80 out | — |
Google | Not available | $0.100 in $0.600 out | — |
Explore how these providers compare to other popular GPU cloud services
Compare Crusoe with another leading provider
Compare Crusoe with another leading provider
Compare Crusoe with another leading provider
Compare Crusoe with another leading provider
Compare Crusoe with another leading provider
Compare Crusoe with another leading provider
Vertically integrated power sourcing across wind, solar, hydropower, geothermal, natural gas, and carbon capture
Machines are deployed quickly when they are launched
Persistent and shared disks, object storage, and a container registry for AI datasets
Provides instances with NVIDIA SXM GPU interconnects
99.5% uptime commitment backed by 24/7 enterprise-grade support
LLM inference with up to 9.9x faster time-to-first-token and 5x higher throughput versus vLLM
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.
High-performance GPU instances powered by NVIDIA GPUs
General-purpose and storage-optimized CPU instances for data processing
Fully managed LLM inference spanning serverless, self-serve dedicated, and tailored deployments
Pay by the hour for maximum agility and unthrottled compute
Use spare capacity at significant discounts compared to on-demand pricing
Lock in guaranteed resources at lowest rates with custom commitments
Flexible pricing for LLM inference based on token usage
Guaranteed inference capacity with AI Model Units, priced lower for longer commitments
Hourly per-GPU pricing for self-serve dedicated endpoints, with monthly and volume rates via sales
Per-token pricing tiered by the parameter count of the base model being tuned
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.
Sign up for Crusoe Cloud services through their website
Choose from available GPU types including L40S, A100, H100, H200, B200, GB200, and AMD options
Set up persistent storage options for your workloads
Deploy via the console, or provision programmatically with the Crusoe CLI or Terraform
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.
Data centers sited near low-cost energy in the United States, including a large-scale campus in Abilene, Texas, plus European capacity in Iceland and Norway
Documentation, learning hub, and 24/7 enterprise-grade support with a 99.5% uptime commitment; SOC 2, ISO 27001, and ISO 42001 certifications
Documentation and integration guides, Discord community, Reddit, GitHub, and email support at support@velokey.ai