Koyeb vs RunPod: GPU Compute Price Comparison

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Koyeb and RunPod. Updated July 2026.

Provider Overview

Attribute

Koyeb

RunPod

Provider type

Specialist

Founded

2021

2022

Headquarters

Paris, France

San Francisco, CA

Billing model

Pay-per-use (serverless)

On-demand, Spot (interruptible)

Min commitment

None

Support tier

Community → Standard

Community → Pro

Regions

2 regions

3 regions

Strengths & Best For

Koyeb

Koyeb is a serverless GPU platform for deploying AI inference endpoints without managing infrastructure, with automatic scaling to zero and pay-per-use billing across EU and US regions. Git-based deployment and a simple dashboard make it easy to ship LLM inference APIs and AI model serving endpoints in minutes. A strong choice for teams that want zero-ops GPU inference with automatic scaling and no idle compute costs.

Strengths

Serverless — no infrastructure management
Automatic scaling to zero
EU and US regions
Git-based deployment

Best For

Inference API deploymentsServerless AI appsTeams wanting zero-ops GPU

Visit Koyeb

RunPod

RunPod is a community GPU cloud marketplace offering H100, A100, RTX 4090, and RTX 3090 instances on both on-demand and spot GPU rental plans, consistently among the lowest-cost options available. Its spot instances make it especially popular with indie AI developers running batch inference, image generation, and LLM fine-tuning on a budget. A serverless GPU option is also available for per-second billing on inference endpoints.

Strengths