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Compare GPU and LLM inference API pricing between Koyeb and RunPod. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Koyeb Price | RunPod Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • RunPod | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • RunPod | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • RunPod | Not Available | — | ||
B200 192GB VRAM • | ||||
H100 NVL 94GB VRAM • RunPod | Not Available | — | ||
H100 NVL 94GB VRAM • | ||||
H100 PCIe 80GB VRAM • RunPod | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H100 SXM 80GB VRAM • RunPod | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • RunPod | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • RunPod | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L40 40GB VRAM • RunPod | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • RunPod | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX 3070 8GB VRAM • RunPod | Not Available | 2x GPU | — | |
RTX 3070 8GB VRAM • | ||||
RTX 3080 10GB VRAM • RunPod | Not Available | 2x GPU | — | |
RTX 3080 10GB VRAM • | ||||
RTX 3080 Ti 12GB VRAM • RunPod | Not Available | — | ||
RTX 3080 Ti 12GB VRAM • | ||||
RTX 3090 24GB VRAM • RunPod | Not Available | — | ||
RTX 3090 24GB VRAM • | ||||
RTX 3090 Ti 24GB VRAM • RunPod | Not Available | — | ||
RTX 3090 Ti 24GB VRAM • | ||||
A100 PCIE 40GB VRAM • RunPod | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • RunPod | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • RunPod | Not Available | — | ||
B200 192GB VRAM • | ||||
H100 NVL 94GB VRAM • RunPod | Not Available | — | ||
H100 NVL 94GB VRAM • | ||||
H100 PCIe 80GB VRAM • RunPod | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H100 SXM 80GB VRAM • RunPod | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • RunPod | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • RunPod | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L40 40GB VRAM • RunPod | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • RunPod | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX 3070 8GB VRAM • RunPod | Not Available | 2x GPU | — | |
RTX 3070 8GB VRAM • | ||||
RTX 3080 10GB VRAM • RunPod | Not Available | 2x GPU | — | |
RTX 3080 10GB VRAM • | ||||
RTX 3080 Ti 12GB VRAM • RunPod | Not Available | — | ||
RTX 3080 Ti 12GB VRAM • | ||||
RTX 3090 24GB VRAM • RunPod | Not Available | — | ||
RTX 3090 24GB VRAM • | ||||
RTX 3090 Ti 24GB VRAM • RunPod | Not Available | — | ||
RTX 3090 Ti 24GB VRAM • | ||||
Explore how these providers compare to other popular GPU cloud services
Compare Koyeb with another leading provider
Compare Koyeb with another leading provider
Compare Koyeb with another leading provider
Compare Koyeb with another leading provider
Compare Koyeb with another leading provider
Compare Koyeb with another leading provider
Per-second billing with scale-to-zero across the GPU catalog
From RTX-4000-SFF-ADA and L4 through L40S, A100, H100, H200 and B200
Deploy applications close to users across multiple regions from a single push
Access to a wide range of GPU types with enterprise-grade security
Only pay for the compute time you actually use
Programmatically manage your GPU instances via REST API
Pods typically ready in 20-30 s
SSH & VS Code tunnels built-in
Automatic migration on pre-empt
On‑demand single‑node GPU instances with flexible templates and storage.
Spin up multi‑node GPU clusters in minutes with auto networking.
Charged per second of GPU runtime, with scale-to-zero when idle
Pre-configured 2x, 4x and 8x GPU instances for larger workloads
Sign up via the Koyeb console using email or GitHub
Select an instance type from the GPU catalog and configure your service
Push from a GitHub repo or Docker image and Koyeb handles the rest
Sign up for RunPod using your email or GitHub account
Add a credit card or cryptocurrency payment method
Select a template and GPU type to launch your first instance
Global edge presence across North America, Europe and Asia
Documentation, community forum and paid support tiers