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Compare GPU and LLM inference API pricing between fal.ai and Genesis Cloud. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $0.56/hour between comparable GPUs
| GPU Model ↑ | fal.ai Price | Genesis Cloud Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
B200 192GB VRAM • fal.aiGenesis Cloud | 8x GPU | ↑+$0.69(+24.6%) | ||
B200 192GB VRAM • $3.49/hour Updated: 7/9/2026 $2.80/hour 8x GPU configuration Updated: 6/20/2026 ★Best Price Price Difference:↑+$0.69(+24.6%) | ||||
H100 SXM 80GB VRAM • fal.aiGenesis Cloud | 8x GPU | ↑+$0.29(+18.1%) | ||
H100 SXM 80GB VRAM • $1.89/hour Updated: 7/5/2026 $1.60/hour 8x GPU configuration Updated: 6/20/2026 ★Best Price Price Difference:↑+$0.29(+18.1%) | ||||
H200 141GB VRAM • fal.aiGenesis Cloud | 8x GPU | ↓$0.70(25.0%) | ||
H200 141GB VRAM • $2.10/hour Updated: 7/5/2026 ★Best Price $2.80/hour 8x GPU configuration Updated: 6/20/2026 Price Difference:↓$0.70(25.0%) | ||||
HGX B300 288GB VRAM • fal.ai | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
RTX 3080 10GB VRAM • Genesis Cloud | Not Available | — | ||
RTX 3080 10GB VRAM • | ||||
RTX 3090 24GB VRAM • Genesis Cloud | Not Available | — | ||
RTX 3090 24GB VRAM • | ||||
RTX 4090 24GB VRAM • Genesis Cloud | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • fal.ai | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
B200 192GB VRAM • fal.aiGenesis Cloud | 8x GPU | ↑+$0.69(+24.6%) | ||
B200 192GB VRAM • $3.49/hour Updated: 7/9/2026 $2.80/hour 8x GPU configuration Updated: 6/20/2026 ★Best Price Price Difference:↑+$0.69(+24.6%) | ||||
H100 SXM 80GB VRAM • fal.aiGenesis Cloud | 8x GPU | ↑+$0.29(+18.1%) | ||
H100 SXM 80GB VRAM • $1.89/hour Updated: 7/5/2026 $1.60/hour 8x GPU configuration Updated: 6/20/2026 ★Best Price Price Difference:↑+$0.29(+18.1%) | ||||
H200 141GB VRAM • fal.aiGenesis Cloud | 8x GPU | ↓$0.70(25.0%) | ||
H200 141GB VRAM • $2.10/hour Updated: 7/5/2026 ★Best Price $2.80/hour 8x GPU configuration Updated: 6/20/2026 Price Difference:↓$0.70(25.0%) | ||||
HGX B300 288GB VRAM • fal.ai | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
RTX 3080 10GB VRAM • Genesis Cloud | Not Available | — | ||
RTX 3080 10GB VRAM • | ||||
RTX 3090 24GB VRAM • Genesis Cloud | Not Available | — | ||
RTX 3090 24GB VRAM • | ||||
RTX 4090 24GB VRAM • Genesis Cloud | Not Available | — | ||
RTX 4090 24GB 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
End-to-end machine learning platforms with high reliability and scalability
35x more performance for LLMs, GenAI, and large multi-node trainings
AI workloads under EU regulations with enhanced security
100% green energy powered data centers with low PUE
End-to-end AI platform with ClearML integration for experiment tracking, data versioning, and pipeline orchestration
Various NVIDIA GPU options for AI and ML workloads
HGX nodes for AI training, plus single‑GPU options.
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
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
Multi-region serverless infrastructure
Documentation, community channels and enterprise support for paid customers
Tier 3 data centers in the European Union
Knowledge base, developer documentation, and dedicated support team