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Compare GPU and LLM inference API pricing between Beam and CoreWeave. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Beam Price | CoreWeave Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • CoreWeave | Not Available | 8x GPU | — | |
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • CoreWeave | Not Available | 8x GPU | — | |
B200 192GB VRAM • | ||||
GB200 384GB VRAM • CoreWeave | Not Available | 41x GPU | — | |
GB200 384GB VRAM • | ||||
GH200 96GB VRAM • CoreWeave | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • CoreWeave | Not Available | 8x GPU | — | |
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • CoreWeave | Not Available | 8x GPU | — | |
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • CoreWeave | Not Available | 8x GPU | — | |
HGX B300 288GB VRAM • | ||||
L40 40GB VRAM • CoreWeave | Not Available | 8x GPU | — | |
L40 40GB VRAM • | ||||
L40S 48GB VRAM • CoreWeave | Not Available | 8x GPU | — | |
L40S 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • CoreWeave | Not Available | 8x GPU | — | |
RTX PRO 6000 96GB VRAM • | ||||
A100 SXM 80GB VRAM • CoreWeave | Not Available | 8x GPU | — | |
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • CoreWeave | Not Available | 8x GPU | — | |
B200 192GB VRAM • | ||||
GB200 384GB VRAM • CoreWeave | Not Available | 41x GPU | — | |
GB200 384GB VRAM • | ||||
GH200 96GB VRAM • CoreWeave | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • CoreWeave | Not Available | 8x GPU | — | |
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • CoreWeave | Not Available | 8x GPU | — | |
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • CoreWeave | Not Available | 8x GPU | — | |
HGX B300 288GB VRAM • | ||||
L40 40GB VRAM • CoreWeave | Not Available | 8x GPU | — | |
L40 40GB VRAM • | ||||
L40S 48GB VRAM • CoreWeave | Not Available | 8x GPU | — | |
L40S 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • CoreWeave | Not Available | 8x GPU | — | |
RTX PRO 6000 96GB VRAM • | ||||
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
Ultrafast boot times with advanced container optimization
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
Purpose-built AI-native platform with Kubernetes-native developer experience
First-to-market access to the latest NVIDIA GPUs including H100, H200, and Blackwell architecture
Unified security, talent services, and observability platform for large-scale AI operations
High-performance clusters with InfiniBand networking for optimal scale-out connectivity
Deploy high-performance inference endpoints with custom models
Secure code execution environments for AI agents
Run large-scale workloads with distributed processing
On-demand and reserved GPU instances with latest NVIDIA hardware
High-performance CPU instances to complement GPU workloads
Only pay for actual compute time with no minimum charges
Developer plan free with usage, Team plan starts at monthly base fee plus usage
All plans include monthly free credits for getting started
Pay-per-hour GPU and CPU instances with flexible scaling
Committed usage discounts up to 60% over on-demand pricing
No ingress, egress, or transfer fees for data movement
Sign up on the Beam platform
Create a virtual environment and install the Beam SDK
Configure your API token to connect to Beam
Sign up for CoreWeave Cloud platform access
Select from latest NVIDIA GPUs including H100, H200, and Blackwell architecture
Use Kubernetes-native tools for workload deployment and scaling
Deployments across North America with expanding global presence
24/7 support from dedicated engineering teams, comprehensive documentation, and Kubernetes expertise