Modal vs OpenRelay: Pricing, Specs, Strengths & Weaknesses

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Modal and OpenRelay. Rates sourced from public APIs — verify current availability and billing terms before purchasing.

Overview

Attribute

Modal

OpenRelay

Provider type

Specialist

Founded

2021

Headquarters

New York, NY

Billing model

Per-second serverless

On-demand

Min commitment

None

Support tier

Community → Enterprise

Regions

3 regions

1 regions

Strengths & Best For

Modal

Modal is a serverless GPU cloud purpose-built for AI workloads, offering per-second billing with zero idle cost. GPU catalog: B300, B200, H200 SXM, H100 SXM5, RTX PRO 6000, A100 80GB, A100 40GB, L40S, A10, L4, T4. Starter and Team plans include free monthly compute credits. Multi-node training up to 128 B200s with 3,200 Gbps InfiniBand. Python-native SDK. SOC 2 and HIPAA compliant.

Strengths

B300, B200, H200 — competitive Blackwell/Hopper pricing
Per-second billing with zero idle cost — no minimum hours
Multi-node training up to 128 B200s with 3,200 Gbps InfiniBand
Python-native SDK — no infra management
Starter and Team plans include free monthly compute credits
SOC 2, HIPAA, data residency controls

Weaknesses

Less control over underlying infrastructure vs raw VMs
Pricing can be unpredictable for sustained high-throughput workloads
Smaller GPU catalog than dedicated cluster providers

Best For

ML engineers wanting zero-ops GPU infrastructureServerless LLM inference and multi-modal workloadsRL rollouts and AI agent sandboxes at scaleTeams wanting one platform from prototype to production

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OpenRelay

OpenRelay offers on-demand cloud GPU instances and an OpenAI-compatible inference API, billed hourly with no commitment, quota, or reservation required.

Strengths

Best For

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OpenRelay Rating

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