Groq
Ultra-fast inference using custom LPU (Language Processing Unit) hardware with sub-100ms latency. Hosts Llama 4 Scout, Llama 3.3 70B, Qwen3 32B, Llama 3.1 8B, Gemma and other open models at ~814 tok/s on Gemma 7B (5-15x faster than other providers). Achieves sub-200ms latency on Qwen3 32B and Llama 4 Scout. OpenAI-compatible API with generous free tier. Pricing: Llama 3.3 70B ~$0.59/$0.79 per 1M input/output tokens, Llama 3.1 8B ~$0.06 per 1M tokens (blended). Batch requests at 50% discount.
Overview
| Category | Ai |
| Compliance | SOC2 |
| Self-Hostable | No |
| On-Prem | No |
| Best For | hobby, startup, growth |
| Last Verified | 2026-02-13 |
Strengths & Weaknesses
Strengths:- performance
- cost
- dx
- Limited model selection (open-source models only)
- Rate limits can be restrictive on free tier
- No fine-tuning or custom model hosting support
When to Use
Best when:- Latency is the top priority with sub-200ms inference requirements
- Real-time or interactive applications requiring minimal latency
- Using open-source models and need 5-15x speed advantage over standard inference
- Prototyping with generous free tier and batch processing discount
- Need frontier proprietary models (GPT-5, Claude Opus)
- Require enterprise SLAs and compliance certifications
- Need fine-tuning or custom model hosting