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Compare GPU and LLM inference API pricing between Anthropic and CoreWeave. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Anthropic 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 • | ||||
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 • | ||||
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 Anthropic with another leading provider
Compare Anthropic with another leading provider
Compare Anthropic with another leading provider
Compare Anthropic with another leading provider
Compare Anthropic with another leading provider
Compare Anthropic with another leading provider
Access to Claude 3.5 Sonnet, Claude 3.5 Haiku, and Claude 3 Opus models
200K tokens standard with extended context options for large document analysis
Up to 90% cost savings on repeated content with cache durations
Process images and PDF documents natively
Function calling, code execution, and computer use capabilities
50% cost reduction for asynchronous processing
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
On-demand and reserved GPU instances with latest NVIDIA hardware
High-performance CPU instances to complement GPU workloads
Per million token pricing starting at $0.25/$1.25 for Haiku
90% savings on cached content with 5-minute and 1-hour options
50% discount on all tokens for async processing
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 at console.anthropic.com
Create an API key from Account Settings
pip install anthropic (Python) or npm install @anthropic-ai/sdk (TypeScript)
Call the Messages API endpoint with your API key
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
150+ countries including US, Canada, UK, EU, Australia, Japan. Available via direct API, AWS Bedrock, Google Vertex AI, and Azure
Documentation, Discord community (50K+ members), email support, Help Center, and enterprise support options
Deployments across North America with expanding global presence
24/7 support from dedicated engineering teams, comprehensive documentation, and Kubernetes expertise