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Compare GPU and LLM inference API pricing between Modal and Paperspace. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $1.51/hour between comparable GPUs
| GPU Model ↑ | Modal Price | Paperspace Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A10 24GB VRAM • Modal | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 SXM 80GB VRAM • ModalPaperspace | 4x GPU | ↓$1.01(32.5%) | ||
A100 SXM 80GB VRAM • $2.10/hour Updated: 7/14/2026 ★Best Price $3.11/hour 4x GPU configuration Updated: 7/16/2026 Price Difference:↓$1.01(32.5%) | ||||
B200 192GB VRAM • Modal | Not Available | — | ||
B200 192GB VRAM • | ||||
H100 SXM 80GB VRAM • ModalPaperspace | ↓$2.00(33.6%) | |||
H100 SXM 80GB VRAM • $3.95/hour Updated: 7/14/2026 ★Best Price $5.95/hour Updated: 7/16/2026 Price Difference:↓$2.00(33.6%) | ||||
H200 141GB VRAM • Modal | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Modal | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L4 24GB VRAM • Modal | Not Available | — | ||
L4 24GB VRAM • | ||||
L40S 48GB VRAM • Modal | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX A4000 16GB VRAM • Paperspace | Not Available | — | ||
RTX A4000 16GB VRAM • | ||||
RTX A5000 24GB VRAM • Paperspace | Not Available | — | ||
RTX A5000 24GB VRAM • | ||||
RTX A6000 48GB VRAM • Paperspace | Not Available | 8x GPU | — | |
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Modal | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
Tesla T4 16GB VRAM • Modal | Not Available | — | ||
Tesla T4 16GB VRAM • | ||||
Tesla V100 32GB VRAM • Paperspace | Not Available | 8x GPU | — | |
Tesla V100 32GB VRAM • | ||||
A10 24GB VRAM • Modal | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 SXM 80GB VRAM • ModalPaperspace | 4x GPU | ↓$1.01(32.5%) | ||
A100 SXM 80GB VRAM • $2.10/hour Updated: 7/14/2026 ★Best Price $3.11/hour 4x GPU configuration Updated: 7/16/2026 Price Difference:↓$1.01(32.5%) | ||||
B200 192GB VRAM • Modal | Not Available | — | ||
B200 192GB VRAM • | ||||
H100 SXM 80GB VRAM • ModalPaperspace | ↓$2.00(33.6%) | |||
H100 SXM 80GB VRAM • $3.95/hour Updated: 7/14/2026 ★Best Price $5.95/hour Updated: 7/16/2026 Price Difference:↓$2.00(33.6%) | ||||
H200 141GB VRAM • Modal | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Modal | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L4 24GB VRAM • Modal | Not Available | — | ||
L4 24GB VRAM • | ||||
L40S 48GB VRAM • Modal | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX A4000 16GB VRAM • Paperspace | Not Available | — | ||
RTX A4000 16GB VRAM • | ||||
RTX A5000 24GB VRAM • Paperspace | Not Available | — | ||
RTX A5000 24GB VRAM • | ||||
RTX A6000 48GB VRAM • Paperspace | Not Available | 8x GPU | — | |
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Modal | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
Tesla T4 16GB VRAM • Modal | Not Available | — | ||
Tesla T4 16GB 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 Modal with another leading provider
Compare Modal with another leading provider
Compare Modal with another leading provider
Compare Modal with another leading provider
Compare Modal with another leading provider
Compare Modal with another leading provider
Run Python functions on NVIDIA GPUs without provisioning instances; cold starts in seconds
Pay for actual GPU runtime at sub-minute granularity, with scale-to-zero by default
Define environments in code, with automatic image building and caching
From T4 and L4 through A100, L40S, H100, H200 and B200
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.
Charged per second of GPU runtime, with scale-to-zero when idle
Monthly free credits for experimentation and personal projects
Volume commitments and enterprise support for production deployments
Run `pip install modal` and authenticate via the CLI
Decorate a Python function with the desired GPU and image specification
Invoke locally or deploy as a long-lived endpoint or scheduled job
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.
Multi-region availability across North America and Europe
Documentation, community forum, and enterprise support for paid plans
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.