Modal vs Beam vs Replicate: Best Serverless GPU in 2026
Modal, Beam, and Replicate are the three leading serverless GPU platforms in 2026. Each takes a different approach — here's which to use and why.
Pricing Comparison (March 2026)
| GPU | Modal | Beam | Replicate |
|---|---|---|---|
| T4 | $0.59/hr eq. | N/A | $0.81/hr eq. |
| A10G | $1.10/hr eq. | $1.00/hr eq. | Not offered |
| A100 40GB | $2.10/hr eq. | $2.00/hr eq. | $4.14/hr eq. |
| H100 | $3.50/hr eq. | $3.20/hr eq. | $5.04/hr eq. |
Cold Start Performance
- Modal: 2–8 sec (A10G), 5–15 sec (A100) — fastest due to aggressive container caching
- Beam: 4–15 sec (A10G), 6–20 sec (A100) — slightly slower than Modal
- Replicate: 15–60 sec (A10G), 20–90 sec (A100) — slowest but serves community models instantly
Developer Experience
Modal has the best DX — Python-native decorators, excellent local/remote parity, clean documentation:
- Deploy a GPU function in under 10 lines of Python
- Automatic container caching via Modal Volumes
- $30/month free tier to get started
When to Choose Each
- Modal: Production inference API needing low cold starts, batch processing jobs, maximum developer flexibility, best A10G/A100 serverless price
- Beam: Similar to Modal but slightly lower hourly pricing matters, EU-compliant serverless GPU compute
- Replicate: Quickly deploy existing open-source models, APIs for non-ML teams, leverage community model hub
When Serverless Loses to Persistent Instances
- High-traffic inference at >50% GPU utilization (persistent RunPod cheaper)
- Training jobs over 24 hours (serverless function time limits apply)
- Very large model loading (slow cold starts make persistent instances better)
Verdict: Modal wins 2026 on developer experience, cold starts, and A10G/A100 pricing. Beam for slightly lower cost. Replicate for community model hosting.
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