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Compare GPU and LLM inference API pricing between fal.ai and Thunder Compute. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $0.10/hour between comparable GPUs
| GPU Model ↑ | fal.ai Price | Thunder Compute Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 SXM 80GB VRAM • Thunder Compute | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • fal.ai | Not Available | — | ||
B200 192GB VRAM • | ||||
H100 PCIe 80GB VRAM • Thunder Compute | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H100 SXM 80GB VRAM • fal.aiThunder Compute | ↓$0.10(5.0%) | |||
H100 SXM 80GB VRAM • $1.89/hour Updated: 7/5/2026 ★Best Price $1.99/hour Updated: 7/3/2026 Price Difference:↓$0.10(5.0%) | ||||
H200 141GB VRAM • fal.ai | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • fal.ai | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L40 40GB VRAM • Thunder Compute | Not Available | — | ||
L40 40GB VRAM • | ||||
RTX A6000 48GB VRAM • Thunder Compute | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • fal.ai | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
A100 SXM 80GB VRAM • Thunder Compute | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • fal.ai | Not Available | — | ||
B200 192GB VRAM • | ||||
H100 PCIe 80GB VRAM • Thunder Compute | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H100 SXM 80GB VRAM • fal.aiThunder Compute | ↓$0.10(5.0%) | |||
H100 SXM 80GB VRAM • $1.89/hour Updated: 7/5/2026 ★Best Price $1.99/hour Updated: 7/3/2026 Price Difference:↓$0.10(5.0%) | ||||
H200 141GB VRAM • fal.ai | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • fal.ai | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L40 40GB VRAM • Thunder Compute | Not Available | — | ||
L40 40GB VRAM • | ||||
RTX A6000 48GB VRAM • Thunder Compute | 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
Spin up a dedicated cloud GPU in seconds.
Customize vCPUs, RAM, and storage.
Supports 7-10 Gbps networking speeds.
Integrated VS Code extension for easier development.
Ability to take snapshots for later use.
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 an account on the Thunder Compute platform.
Select a pre-built template for your AI workflow.
Adjust the vCPUs, RAM, and storage as necessary.
Start your GPU instance with a single click.
Use the VS Code extension to access your persistent environment.
Multi-region serverless infrastructure
Documentation, community channels and enterprise support for paid customers
Available in the US and possibly other regions.
24/7 support via email and chat.