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Compare GPU and LLM inference API pricing between Beam and Crusoe. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Beam 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 PCIe 80GB VRAM • Beam | Not Available | — | ||
H100 PCIe 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 • | ||||
RTX 4090 24GB VRAM • Beam | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
RTX 5090 32GB VRAM • Beam | Not Available | — | ||
RTX 5090 32GB VRAM • | ||||
A100 PCIE 40GB VRAM • Crusoe | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Crusoe | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
H100 PCIe 80GB VRAM • Beam | Not Available | — | ||
H100 PCIe 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 • | ||||
RTX 4090 24GB VRAM • Beam | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
RTX 5090 32GB VRAM • Beam | Not Available | — | ||
RTX 5090 32GB VRAM • | ||||
| Model ↑ | Beam | 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 Beam with another leading provider
Compare Beam with another leading provider
Compare Beam with another leading provider
Compare Beam with another leading provider
Compare Beam with another leading provider
Compare Beam with another leading provider
Only charged when your code runs, no charges for cold starts or server spin-up
Memory snapshots and GPU checkpoint restore bring containers back in seconds, which Beam reports as up to 35x faster than a traditional cold boot
Run untrusted code safely in isolated environments for AI agents and code interpreters
Pause and resume sessions while maintaining filesystem, memory, and running processes
Scale to zero when idle, burst to thousands of containers in seconds
Bring your own Docker images for full environment control, including running the Docker daemon inside containers
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
Deploy high-performance inference endpoints with custom models
Secure code execution environments for AI agents
Run large-scale workloads with distributed processing
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
Serverless GPU, CPU, and sandbox usage billed by the millisecond with no minimum charges
Serverless access to GPUs beyond the RTX 4090 is arranged through a committed-spend agreement
Flat hourly price per machine that already includes the vCPU, RAM, and NVMe storage
Multi-node InfiniBand clusters reserved monthly or yearly, quoted through sales
Per-vCPU and per-GB management fee on top of compute billed directly by your own cloud provider
Persistent volumes and snapshots included up to a capacity threshold, then billed per GB per month
Developer plan free with usage, Team plan with a monthly base fee plus usage, and a contact-sales Growth tier
All plans include monthly free credits that refresh each month
Discounts available for high monthly usage, arranged through sales
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
Sign up on the Beam platform to receive monthly free credits
Create a virtual environment and install the Beam SDK
Configure your API token to connect to Beam
Run a function locally, then deploy it as a web endpoint with the Beam CLI
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
30+ regions spanning the US, EU, Asia-Pacific, and Canada, with workloads routed across clouds and regions in real time
Documentation, public Slack community, and a status page; live chat support on paid plans and a private Slack channel on the top tier
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