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Compare GPU and LLM inference API pricing between fal.ai and Koyeb. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $1.17/hour between comparable GPUs
| GPU Model ↑ | fal.ai Price | Koyeb Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • Koyeb | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • fal.aiKoyeb | ↓$2.01(36.5%) | |||
H100 SXM 80GB VRAM • fal.aiKoyeb | ↓$0.61(24.4%) | |||
H200 141GB VRAM • fal.aiKoyeb | ↓$0.90(30.0%) | |||
HGX B300 288GB VRAM • fal.ai | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L4 24GB VRAM • Koyeb | Not Available | — | ||
L4 24GB VRAM • | ||||
L40S 48GB VRAM • Koyeb | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX A6000 48GB VRAM • Koyeb | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • fal.ai | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
A100 SXM 80GB VRAM • Koyeb | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • fal.aiKoyeb | ↓$2.01(36.5%) | |||
H100 SXM 80GB VRAM • fal.aiKoyeb | ↓$0.61(24.4%) | |||
H200 141GB VRAM • fal.aiKoyeb | ↓$0.90(30.0%) | |||
HGX B300 288GB VRAM • fal.ai | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L4 24GB VRAM • Koyeb | Not Available | — | ||
L4 24GB VRAM • | ||||
L40S 48GB VRAM • Koyeb | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX A6000 48GB VRAM • Koyeb | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • fal.ai | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
Explore how these providers compare to other popular GPU cloud services
Compare fal.ai with another leading provider
Compare fal.ai with another leading provider
Compare fal.ai with another leading provider
Compare fal.ai with another leading provider
Compare fal.ai with another leading provider
Compare fal.ai with another leading provider
Production endpoints for image, video and audio models billed per call or per second
Run private models on dedicated NVIDIA GPUs with autoscaling and scale-to-zero
Inference engines tuned for diffusion and audio workloads
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
Hosted model endpoints billed per request or per generated unit
Custom deployments billed per second of GPU runtime, with scale-to-zero
Volume commitments and dedicated capacity for high-throughput customers
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 and generate an API key
Choose from the catalog or define a custom GPU-backed deployment
Invoke endpoints from any language using the REST or SDK clients
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
Multi-region serverless infrastructure
Documentation, community channels and enterprise support for paid customers
Global edge presence across North America, Europe and Asia
Documentation, community forum and paid support tiers