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Compare GPU and LLM inference API pricing between Bentaus and Crusoe. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Bentaus Price | Crusoe 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 • | ||||
HGX B300 288GB VRAM • Bentaus | 8x GPU | Not Available | — | |
HGX B300 288GB 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 • | ||||
HGX B300 288GB VRAM • Bentaus | 8x GPU | Not Available | — | |
HGX B300 288GB VRAM • | ||||
L40S 48GB VRAM • Crusoe | Not Available | — | ||
L40S 48GB VRAM • | ||||
MI300X 192GB VRAM • Crusoe | Not Available | — | ||
MI300X 192GB VRAM • | ||||
| Model ↑ | Bentaus | Crusoe | Input Diff ↕ |
|---|---|---|---|
DeepSeek | Not available | $0.140 in $0.280 out | — |
DeepSeek | Not available | $1.74 in $3.48 out | — |
Google | Not available | $0.140 in $0.400 out | — |
Z AI | Not available | $1.40 in $4.40 out | — |
Z AI | Not available | $0.150 in $0.500 out | — |
OpenAI | Not available | $0.050 in $0.200 out | — |
Kimi | Not available | $0.700 in $3.50 out | — |
NVIDIA | Not available | $0.050 in $0.200 out | — |
NVIDIA | Not available | $0.300 in $1.83 out | — |
NVIDIA | Not available | $0.300 in $2.40 out | — |
NVIDIA | Not available | $1.00 in $3.20 out | — |
NVIDIA | Not available | $0.050 in $0.200 out | — |
Explore how these providers compare to other popular GPU cloud services
Compare Bentaus with another leading provider
Compare Bentaus with another leading provider
Compare Bentaus with another leading provider
Compare Bentaus with another leading provider
Compare Bentaus with another leading provider
Compare Bentaus with another leading provider
Eight-GPU NVIDIA HGX B300 (Blackwell Ultra) nodes with 288 GB HBM3e per GPU, NVLink within the node and 400G InfiniBand between nodes
Capacity is deployed on power infrastructure Bentaus develops and operates itself, including generation, battery backup and liquid-cooled facilities
Proprietary software that coordinates compute, power and energy assets in real time, letting GPU load respond to grid signals while keeping workload SLAs
Every order goes through an ordering form and a solutions architect; there is no instant single-GPU deployment
Fully isolated clusters designed to the customer's specification, with monitoring, support and SLAs, under a custom contract
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
HGX B300 nodes sold by the GPU-hour in eight-GPU node increments
Dedicated, fully isolated GPU clusters designed to the customer's specification
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
Per-GPU-hour pricing published as a range, sold in eight-GPU node increments and provisioned through sales; the low end is a starting rate
Lower per-GPU-hour range with guaranteed capacity, priority access and a rate locked for a custom term length agreed with sales
Custom contract pricing for a dedicated, isolated cluster; no published rate
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
Use the ordering form on the B300 page to state how many eight-GPU nodes you need, your workload type, timeline and whether you want on-demand, reserved or a custom environment
A Bentaus solutions architect follows up to confirm configuration, term and pricing within the published range
On-demand and reserved nodes are provisioned on Bentaus-operated infrastructure; AI factory clusters are designed and built to the agreed specification
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
Not disclosed; Bentaus operates on US grid infrastructure and its demand-response deployments have been in ERCOT (Texas)
Solutions architect assigned per order; AI factory clusters include monitoring, support and SLAs. Enquiries via the contact page.
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