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Compare GPU and LLM inference API pricing between Groq and Lambda Labs. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Groq Price | Lambda Labs 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 180GB VRAM • Lambda Labs | Not Available | 8x GPU | — | |
B200 180GB VRAM • | ||||
GH200 96GB VRAM • Lambda Labs | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • Lambda Labs | Not Available | 8x GPU | — | |
H100 SXM 80GB VRAM • | ||||
RTX A6000 48GB VRAM • Lambda Labs | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
Tesla V100 32GB VRAM • Lambda Labs | Not Available | 8x GPU | — | |
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 180GB VRAM • Lambda Labs | Not Available | 8x GPU | — | |
B200 180GB VRAM • | ||||
GH200 96GB VRAM • Lambda Labs | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • Lambda Labs | Not Available | 8x GPU | — | |
H100 SXM 80GB VRAM • | ||||
RTX A6000 48GB VRAM • Lambda Labs | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
Tesla V100 32GB VRAM • Lambda Labs | Not Available | 8x GPU | — | |
Tesla V100 32GB VRAM • | ||||
| Model ↑ | Groq | Lambda Labs | Input Diff ↕ |
|---|---|---|---|
OpenAI | $0.150 in $0.600 out | Not available | — |
OpenAI | $0.075 in $0.300 out | Not available | — |
Alibaba | $0.600 in $3.00 out | Not available | — |
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Compare Groq with another leading provider
Compare Groq with another leading provider
Custom Language Processing Units run inference, with 256 LPUs and 128 GB of on-chip SRAM per rack
Drop-in replacement for the OpenAI API at api.groq.com/openai/v1, including a Responses API
GroqMetal bare-metal infrastructure, GroqCore inference stack, and GroqAssured enterprise governance, each including the layers below
Text generation plus speech-to-text, text-to-speech, OCR and image recognition, and content moderation models
Compound systems that combine models with web search, code execution, remote MCP tools, and Google Workspace connectors
Performance, flex, and batch processing tiers, plus prompt caching, structured outputs, and LoRA inference
Token-based pricing with separate input/output rates; audio models are billed per hour and speech models per character
Alternative service tiers for throughput-tolerant or bursty workloads instead of the standard on-demand tier
Dedicated capacity and enterprise-only models quoted through sales
Rate-limited free access for development and testing
Sign up at console.groq.com with email or OAuth
Generate an API key from the console dashboard
Use the OpenAI-compatible endpoint with your preferred model
13 data centers across four continents, including sites in the US (Liberty Lake, St Paul, Dallas, Houston), Canada (Kamloops, Vaudreuil-Dorion, Calgary), Finland, the UK, Australia, and Saudi Arabia
Documentation and API reference, developer community, production readiness guides, and enterprise onboarding via sales