Groq vs Replicate
Both run open models via API rather than training their own. Groq optimises a curated set of LLMs for extreme low latency; Replicate runs a vast catalogue of models with per-second billing.
Key differences
- Focus: Groq = ultra-low-latency inference of a curated LLM set; Replicate = breadth, thousands of models including image/audio/video.
- Billing: Groq is token-based; Replicate is per-second GPU time.
- Licensing: both serve open models, so the per-model license governs commercial use in each case.
- Choose Groq for latency-critical text; choose Replicate for model variety and non-text modalities.
Rights
| Key | Groq | Replicate |
|---|---|---|
commercial_use_allowed |
yes | conditional |
training_use_of_input |
no | — |
output_ownership |
— | conditional |
Constraints
| Key | Groq | Replicate |
|---|---|---|
api_available |
yes | yes |
webhook_available |
— | yes |