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Compare GPU and LLM inference API pricing between Runpod and Velokey. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Runpod Price | Velokey 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 • | ||||
A40 48GB VRAM • Runpod | Not Available | — | ||
A40 48GB VRAM • | ||||
B200 180GB VRAM • Runpod | Not Available | — | ||
B200 180GB 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 • | ||||
L4 24GB VRAM • Runpod | Not Available | — | ||
L4 24GB VRAM • | ||||
L40 40GB VRAM • Runpod | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • Runpod | Not Available | — | ||
L40S 48GB VRAM • | ||||
MI300X 192GB VRAM • Runpod | Not Available | — | ||
MI300X 192GB VRAM • | ||||
RTX 3070 8GB VRAM • Runpod | Not Available | — | ||
RTX 3070 8GB VRAM • | ||||
RTX 3080 10GB VRAM • Runpod | Not Available | — | ||
RTX 3080 10GB VRAM • | ||||
A100 PCIE 40GB VRAM • Runpod | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Runpod | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A40 48GB VRAM • Runpod | Not Available | — | ||
A40 48GB VRAM • | ||||
B200 180GB VRAM • Runpod | Not Available | — | ||
B200 180GB 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 • | ||||
L4 24GB VRAM • Runpod | Not Available | — | ||
L4 24GB VRAM • | ||||
L40 40GB VRAM • Runpod | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • Runpod | Not Available | — | ||
L40S 48GB VRAM • | ||||
MI300X 192GB VRAM • Runpod | Not Available | — | ||
MI300X 192GB VRAM • | ||||
RTX 3070 8GB VRAM • Runpod | Not Available | — | ||
RTX 3070 8GB VRAM • | ||||
RTX 3080 10GB VRAM • Runpod | Not Available | — | ||
RTX 3080 10GB VRAM • | ||||
| Model ↑ | Runpod | Velokey | Input Diff ↕ |
|---|---|---|---|
Anthropic | Not available | $4.00 in $20.00 out | — |
Anthropic | Not available | $0.400 in $2.00 out | — |
Anthropic | Not available | $2.00 in $10.00 out | — |
Anthropic | Not available | $2.00 in $10.00 out | — |
Anthropic | Not available | $2.00 in $10.00 out | — |
Anthropic | Not available | $2.00 in $10.00 out | — |
Anthropic | Not available | $2.00 in $10.00 out | — |
Anthropic | Not available | $1.20 in $6.00 out | — |
Anthropic | Not available | $1.20 in $6.00 out | — |
Anthropic | Not available | $1.20 in $6.00 out | — |
DeepSeek | Not available | $0.140 in $0.280 out | — |
DeepSeek | Not available | $0.435 in $0.870 out | — |
Google | Not available | $0.200 in $1.20 out | — |
Google | Not available | $0.800 in $4.80 out | — |
Google | Not available | $0.100 in $0.600 out | — |
Explore how these providers compare to other popular GPU cloud services
Compare Runpod with another leading provider
Compare Runpod with another leading provider
Compare Runpod with another leading provider
Compare Runpod with another leading provider
Compare Runpod with another leading provider
Compare Runpod with another leading provider
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
Access text, image, and video models through one API.
Existing OpenAI SDK clients work after changing the base URL to api.velokey.ai/v1 and swapping the API key.
Automatically routes requests to the best available model.
Switches to backup routes in case of provider failure.
Pay only for what is used based on API calls.
Monitor request status and usage metrics from a single console.
On‑demand single‑node GPU instances in Secure Cloud (data‑center hosted) or lower‑cost Community Cloud, with flexible templates and storage.
Pay‑per‑second endpoints with automatic scaling for production AI/ML applications.
Fully managed multi‑node GPU clusters with high‑speed networking between nodes.
Pods hosted in vetted data centers; higher reliability tier
Pods on vetted community hosts at lower rates than Secure Cloud
Interruptible capacity at reduced prices
Pay-per-second billing for endpoint execution time, with automatic scaling and no charge when idle
Usage-based billing with no plan minimums or subscriptions.
Language models are billed per input and output token.
Image models are billed per generated image and video models per second of output.
Usage is denominated in credits, quoted alongside their USD equivalent on the pricing page.
New accounts receive free credits that do not expire.
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
Sign up and generate an API key from the Velokey console.
Point your existing SDK to the Velokey endpoint.
Choose from available text, image, and video models for use.
Documentation site, support request form, public status page, and a community Discord
Documentation and integration guides, Discord community, Reddit, GitHub, and email support at support@velokey.ai