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Compare GPU and LLM inference API pricing between Anthropic and Paperspace. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Anthropic Price | Paperspace Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • Paperspace | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
H100 SXM 80GB VRAM • Paperspace | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
RTX A4000 16GB VRAM • Paperspace | Not Available | — | ||
RTX A4000 16GB VRAM • | ||||
RTX A5000 24GB VRAM • Paperspace | Not Available | 4x GPU | — | |
RTX A5000 24GB VRAM • | ||||
RTX A6000 48GB VRAM • Paperspace | Not Available | 8x GPU | — | |
RTX A6000 48GB VRAM • | ||||
Tesla V100 32GB VRAM • Paperspace | Not Available | 8x GPU | — | |
Tesla V100 32GB VRAM • | ||||
A100 SXM 80GB VRAM • Paperspace | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
H100 SXM 80GB VRAM • Paperspace | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
RTX A4000 16GB VRAM • Paperspace | Not Available | — | ||
RTX A4000 16GB VRAM • | ||||
RTX A5000 24GB VRAM • Paperspace | Not Available | 4x GPU | — | |
RTX A5000 24GB VRAM • | ||||
RTX A6000 48GB VRAM • Paperspace | Not Available | 8x GPU | — | |
RTX A6000 48GB VRAM • | ||||
Tesla V100 32GB VRAM • Paperspace | Not Available | 8x GPU | — | |
Tesla V100 32GB 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 4.x models including Opus 4.7, Sonnet 4.6, and Haiku 4.5, plus Mythos preview
Agentic coding assistant in your terminal for enhanced development workflows
Collaborative workspace features for team projects and shared workflows
Advanced security features and tools for enterprise security teams (currently in beta)
Fully managed agent infrastructure with stateful sessions and persistent event history
200K tokens standard with extended context options for large document analysis
Interactive Jupyter notebooks with a free tier, pre-configured templates, and access to powerful GPUs.
Serve machine learning models as scalable API endpoints.
High-performance virtual machines with a wide variety of NVIDIA GPUs for demanding workloads.
Features for teams to collaborate on projects, including shared drives and SSO.
Offers persistent storage that can be shared across different machines and notebooks.
Programmatic access to the Paperspace platform to automate workflows.
Virtual machines with a wide range of NVIDIA GPUs for various workloads.
Managed Jupyter notebooks for interactive development and experimentation.
A serverless product for deploying trained models as REST APIs.
Per million token pricing for Claude models with competitive rates
Standard and premium seats with monthly/annual billing for teams of 5-150
Per-seat pricing plus API usage rates with advanced admin and security features
90% savings on cached content with 5-minute and 1-hour options
50% discount on all tokens for async processing
Sign up at platform.claude.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 a Paperspace account. You can start with a free plan.
Select the product that best fits your needs, such as Gradient Notebooks for interactive development or Core Machines for more control.
Choose a pre-configured template for your desired framework and select a GPU or CPU instance.
Launch your machine or notebook and begin building, training, or deploying your AI applications.
150+ countries including US, Canada, UK, EU, Australia, Japan. Available via direct API, AWS Bedrock, Google Vertex AI, Microsoft Foundry, and Azure
Documentation, Discord community, email support, Help Center, status page, and enterprise support options
Data centers are located in the US (Secaucus, NJ and Santa Clara, CA) and Europe (Amsterdam, NL).
Support is available through a community forum, extensive documentation, and a support ticket system.