Koyeb vs Paperspace: Pricing, Specs, Strengths & Weaknesses
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Koyeb and Paperspace. Rates sourced from public APIs — verify current availability and billing terms before purchasing.
Overview
Strengths & Best For
Koyeb is joining Mistral AI to build the future of AI infrastructure. The platform offers serverless GPU compute with automatic scaling to zero and per-second billing. GPU catalog: B200, H200, H100, A100 SXM, RTX PRO 6000, A100, L40S, RTX A6000, L4, RTX 4000 SFF Ada. N300s (NVIDIA Rubin) available via request. 7 regions in US, EU, and Asia. Saving plans up to 50% off. Kubernetes deployment in 120 seconds. Check koyeb.com/pricing for current rates.
- B200, H200, H100 — competitive serverless pricing
- Joining Mistral AI — strong AI infrastructure future
- Automatic scaling to zero — no idle costs
- Per-second billing, Kubernetes in 120 seconds
- 7 regions in US, EU, and Asia
- N300s (NVIDIA Rubin) available via request
- Acquisition by Mistral AI may change product direction
- Fewer regions than major cloud providers
- Less mature ecosystem vs CoreWeave or Lambda
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Paperspace (now part of DigitalOcean) offers A100, H100, A6000, A5000, A4000, and RTX 5000 GPU instances alongside Gradient, its managed ML platform with Jupyter notebooks, experiment tracking, and one-click model deployment. Monthly dedicated options available. Gradient plans include a Free tier through paid tiers. A beginner-friendly on-demand GPU cloud with a polished notebook-centric experience, now integrated into the DigitalOcean ecosystem.
- Gradient managed ML platform with Jupyter notebooks
- Simple UI and beginner-friendly onboarding
- H100 on-demand availability
- Free tier available for beginners
- DigitalOcean ecosystem integration
- Acquired by DigitalOcean — Gradient product direction uncertain
- Limited GPU catalog vs specialist providers
- Notebook-centric UX not ideal for production pipelines
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Key differences
Koyeb
Joining Mistral AI — B200, H200, H100, serverless GPU with scale-to-zero
Paperspace
ML platform with Gradient notebooks and GPU instances — now part of DigitalOcean