Loading Comparison
Fetching pricing data and provider information...
Loading Comparison
Fetching pricing data and provider information...
Compare GPU and LLM inference API pricing between Lambda Labs and Modal. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Lambda Labs Price | Modal Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A10 24GB VRAM • Lambda Labs | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 SXM 80GB VRAM • Lambda Labs | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • Lambda Labs | 8x GPU | Not Available | — | |
B200 192GB VRAM • | ||||
GH200 96GB VRAM • Lambda Labs | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • Lambda Labs | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
RTX A6000 48GB VRAM • Lambda Labs | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
Tesla V100 32GB VRAM • Lambda Labs | 8x GPU | Not Available | — | |
Tesla V100 32GB VRAM • | ||||
A10 24GB VRAM • Lambda Labs | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 SXM 80GB VRAM • Lambda Labs | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • Lambda Labs | 8x GPU | Not Available | — | |
B200 192GB VRAM • | ||||
GH200 96GB VRAM • Lambda Labs | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • Lambda Labs | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
RTX A6000 48GB VRAM • Lambda Labs | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
Tesla V100 32GB VRAM • Lambda Labs | 8x GPU | Not Available | — | |
Tesla V100 32GB VRAM • | ||||
Explore how these providers compare to other popular GPU cloud services
Compare Lambda Labs with another leading provider
Compare Lambda Labs with another leading provider
Compare Lambda Labs with another leading provider
Compare Lambda Labs with another leading provider
Compare Lambda Labs with another leading provider
Compare Lambda Labs with another leading provider
Run Python functions on NVIDIA GPUs without provisioning instances; cold starts in seconds
Pay for actual GPU runtime at sub-minute granularity, with scale-to-zero by default
Define environments in code, with automatic image building and caching
From T4 and L4 through A100, L40S, H100, H200 and B200
Charged per second of GPU runtime, with scale-to-zero when idle
Monthly free credits for experimentation and personal projects
Volume commitments and enterprise support for production deployments
Run `pip install modal` and authenticate via the CLI
Decorate a Python function with the desired GPU and image specification
Invoke locally or deploy as a long-lived endpoint or scheduled job
Multi-region availability across North America and Europe
Documentation, community forum, and enterprise support for paid plans