Lambda Labs vs OpenRouter
Compare GPU and LLM inference API pricing between Lambda Labs and OpenRouter. Find the best rates for AI training, inference, and ML workloads.
Lambda Labs
Provider 1
OpenRouter
Provider 2
Comparison Overview
GPU Pricing Comparison
| GPU Model ↑ | Lambda Labs Price | OpenRouter Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A10 24GB VRAM • Lambda Labs | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 SXM 80GB VRAM • Lambda Labs | 2x GPU | 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 | 2x GPU | Not Available | — | |
H100 SXM 80GB VRAM • | ||||
RTX 6000 Pro 96GB VRAM • Lambda Labs | Not Available | — | ||
RTX 6000 Pro 96GB VRAM • | ||||
RTX A6000 48GB VRAM • Lambda Labs | 2x GPU | 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 | 2x GPU | 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 | 2x GPU | Not Available | — | |
H100 SXM 80GB VRAM • | ||||
RTX 6000 Pro 96GB VRAM • Lambda Labs | Not Available | — | ||
RTX 6000 Pro 96GB VRAM • | ||||
RTX A6000 48GB VRAM • Lambda Labs | 2x GPU | Not Available | — | |
RTX A6000 48GB VRAM • | ||||
Tesla V100 32GB VRAM • Lambda Labs | 8x GPU | Not Available | — | |
Tesla V100 32GB VRAM • | ||||
Features Comparison
Lambda Labs
OpenRouter
- Unified Model Access
Single API endpoint for 300+ models from dozens of providers
- Automatic Fallback Routing
Requests automatically route to the best available provider for each model
- OpenAI-Compatible API
Drop-in replacement using the OpenAI SDK format
- Provider Optimization
Routes to the fastest or cheapest provider based on your preference
- Usage-Based Pricing
Pay per token with no minimum commitments or subscriptions
- Prompt Caching
Reduced pricing for cached input tokens on supported models
Pros & Cons
Lambda Labs
Advantages
- Early access to latest NVIDIA GPUs (H100, H200, Blackwell)
- Specialized for AI workloads
- One-click Jupyter access
- Pre-installed popular ML frameworks
Considerations
- Primarily focused on AI and ML workloads
- Limited global data center presence compared to major cloud providers
- Newer player in the cloud GPU market
OpenRouter
Advantages
- Largest selection of models through a single API
- Transparent per-token pricing with no markup on many models
- Automatic failover across multiple providers
- No vendor lock-in — switch models with a single parameter change
Considerations
- Aggregator pricing may include a small margin on some models
- Latency may be slightly higher due to routing layer
- No fine-tuning or custom model training
Compute Services
Lambda Labs
OpenRouter
Pricing Options
Lambda Labs
OpenRouter
Pay-per-token
Usage-based pricing per input and output token, varying by model
Prompt caching
Discounted rates for cached input tokens on supported models
Free models
Select open-source models available at no cost
Getting Started
Lambda Labs
OpenRouter
- 1
Create an account
Sign up at openrouter.ai
- 2
Get API key
Generate an API key from your dashboard
- 3
Choose a model
Browse 300+ models across text, image, audio, and video
- 4
Make API calls
Use OpenAI-compatible endpoints with your OpenRouter key
Support & Global Availability
Lambda Labs
OpenRouter
Global Regions
Global — routes to providers across multiple regions for optimal latency
Support
Documentation, Discord community, and email support
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