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Compare GPU and LLM inference API pricing between fal.ai and Jarvis Labs. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $0.87/hour between comparable GPUs
| GPU Model ↑ | fal.ai Price | Jarvis Labs Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • fal.aiJarvis Labs | ↑+$0.10(+11.2%) | |||
A100 PCIE 40GB VRAM • $0.99/hour Updated: 5/30/2026 $0.89/hour Updated: 5/31/2026 ★Best Price Price Difference:↑+$0.10(+11.2%) | ||||
A100 SXM 80GB VRAM • Jarvis Labs | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A30 24GB VRAM • Jarvis Labs | Not Available | — | ||
A30 24GB VRAM • | ||||
H100 SXM 80GB VRAM • fal.aiJarvis Labs | ↓$0.80(29.7%) | |||
H100 SXM 80GB VRAM • $1.89/hour Updated: 5/30/2026 ★Best Price $2.69/hour Updated: 5/31/2026 Price Difference:↓$0.80(29.7%) | ||||
H200 141GB VRAM • fal.aiJarvis Labs | ↓$1.70(44.7%) | |||
H200 141GB VRAM • $2.10/hour Updated: 5/30/2026 ★Best Price $3.80/hour Updated: 5/7/2026 Price Difference:↓$1.70(44.7%) | ||||
L4 24GB VRAM • Jarvis Labs | Not Available | — | ||
L4 24GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • Jarvis Labs | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
RTX A6000 48GB VRAM • Jarvis Labs | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Jarvis Labs | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
A100 PCIE 40GB VRAM • fal.aiJarvis Labs | ↑+$0.10(+11.2%) | |||
A100 PCIE 40GB VRAM • $0.99/hour Updated: 5/30/2026 $0.89/hour Updated: 5/31/2026 ★Best Price Price Difference:↑+$0.10(+11.2%) | ||||
A100 SXM 80GB VRAM • Jarvis Labs | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A30 24GB VRAM • Jarvis Labs | Not Available | — | ||
A30 24GB VRAM • | ||||
H100 SXM 80GB VRAM • fal.aiJarvis Labs | ↓$0.80(29.7%) | |||
H100 SXM 80GB VRAM • $1.89/hour Updated: 5/30/2026 ★Best Price $2.69/hour Updated: 5/31/2026 Price Difference:↓$0.80(29.7%) | ||||
H200 141GB VRAM • fal.aiJarvis Labs | ↓$1.70(44.7%) | |||
H200 141GB VRAM • $2.10/hour Updated: 5/30/2026 ★Best Price $3.80/hour Updated: 5/7/2026 Price Difference:↓$1.70(44.7%) | ||||
L4 24GB VRAM • Jarvis Labs | Not Available | — | ||
L4 24GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • Jarvis Labs | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
RTX A6000 48GB VRAM • Jarvis Labs | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Jarvis Labs | 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
Get access to powerful GPUs instantly with zero setup complexity
Wide range of pre-configured templates for various AI/ML frameworks
Flexible pricing model with no upfront commitments
Reliable and scalable infrastructure for production workloads
Easy pause, resume, and delete functionality for cost optimization
Full SSH access to instances for complete control
On-demand GPU instances with various configuration options
Spin up notebooks or VMs with NVIDIA GPUs.
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
Sign up for a new account on the Jarvis Labs platform
Add funds to your account in the Recharge section
Explore the wide range of templates, configure your desired setup, and click Launch
Easily pause ⏸️, resume ▶️, and delete 🗑️ your instances with just a few clicks
Multi-region serverless infrastructure
Documentation, community channels and enterprise support for paid customers
Multiple regions available with flexibility to resume instances within the same region
Documentation, tutorials, and getting started guides available