Groq vs OpenAI API — LLM Inference Speed & Cost
Groq targets low-latency inference on open models with its LPU hardware; OpenAI offers frontier models. How the two APIs differ.
GroqOpenAI
Feature Comparison
| Feature | Groq | OpenAI |
|---|---|---|
| Inference speed | Low latency (LPU, vendor-claimed) | Fast |
| Free tier | Generous | Limited |
| Open source models | ✅ Llama, Mixtral, Gemma | ❌ |
| Fine-tuning | ❌ | ✅ |
| API compatibility | OpenAI-compatible | Native |
| Context window | 128K tokens | 200K tokens |
| Vision support | ❌ | ✅ |
| API pricing | Pricing changes — check the provider | Pricing changes — check the provider |
Looking for the right GPU?
Groq
View →API-first inference provider. Fast, scalable, no hardware needed.
OpenAI
API Docs →API-first inference provider. Fast, scalable, no hardware needed.
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