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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: $1.16/hour between comparable GPUs
| GPU Model ↑ | fal.ai Price | Jarvis Labs Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • Jarvis Labs | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Jarvis Labs | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A30 24GB VRAM • Jarvis Labs | Not Available | — | ||
A30 24GB VRAM • | ||||
B200 192GB VRAM • fal.ai | Not Available | — | ||
B200 192GB VRAM • | ||||
H100 SXM 80GB VRAM • fal.aiJarvis Labs | ↓$0.80(29.7%) | |||
H100 SXM 80GB VRAM • $1.89/hour Updated: 7/5/2026 ★Best Price $2.69/hour Updated: 7/14/2026 Price Difference:↓$0.80(29.7%) | ||||
H200 141GB VRAM • fal.aiJarvis Labs | ↓$1.89(47.4%) | |||
H200 141GB VRAM • $2.10/hour Updated: 7/5/2026 ★Best Price $3.99/hour Updated: 7/14/2026 Price Difference:↓$1.89(47.4%) | ||||
HGX B300 288GB VRAM • fal.ai | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L4 24GB VRAM • Jarvis Labs | Not Available | — | ||
L4 24GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • fal.aiJarvis Labs | ↓$0.79(41.8%) | |||
RTX PRO 6000 96GB VRAM • $1.10/hour Updated: 7/9/2026 ★Best Price $1.89/hour Updated: 7/14/2026 Price Difference:↓$0.79(41.8%) | ||||
A100 PCIE 40GB VRAM • Jarvis Labs | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Jarvis Labs | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A30 24GB VRAM • Jarvis Labs | Not Available | — | ||
A30 24GB VRAM • | ||||
B200 192GB VRAM • fal.ai | Not Available | — | ||
B200 192GB VRAM • | ||||
H100 SXM 80GB VRAM • fal.aiJarvis Labs | ↓$0.80(29.7%) | |||
H100 SXM 80GB VRAM • $1.89/hour Updated: 7/5/2026 ★Best Price $2.69/hour Updated: 7/14/2026 Price Difference:↓$0.80(29.7%) | ||||
H200 141GB VRAM • fal.aiJarvis Labs | ↓$1.89(47.4%) | |||
H200 141GB VRAM • $2.10/hour Updated: 7/5/2026 ★Best Price $3.99/hour Updated: 7/14/2026 Price Difference:↓$1.89(47.4%) | ||||
HGX B300 288GB VRAM • fal.ai | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L4 24GB VRAM • Jarvis Labs | Not Available | — | ||
L4 24GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • fal.aiJarvis Labs | ↓$0.79(41.8%) | |||
RTX PRO 6000 96GB VRAM • $1.10/hour Updated: 7/9/2026 ★Best Price $1.89/hour Updated: 7/14/2026 Price Difference:↓$0.79(41.8%) | ||||
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
Boot templates in 1.8 seconds or VMs in under 90 seconds
Pay-as-you-go with per-minute billing and no upfront commitments
Comprehensive command-line and Python SDK with agent integration for Claude Code, Cursor, and other AI coding agents
Scale up to 8 GPUs per instance for demanding workloads
Easy pause, resume, and delete functionality for cost optimization
On-demand GPU instances with various configuration options
Pre-built environments for instant deployment
Full root access VMs for custom configurations
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
Per-minute billing with no minimum commitments and instant provisioning
Use spare capacity with significant discounts up to 56% off on-demand pricing
Save up to 21% with 1-month commitments or up to 32% with 6-month commitments
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
GPU clusters deployed in India (Noida) and Europe with flexible regional instance management
Documentation, tutorials, and getting started guides available