The Verdict
Groq is the fastest AI inference provider available, delivering tokens at speeds that make every other platform feel sluggish. Built on proprietary Language Processing Units rather than GPUs, Groq generates responses from Llama 3 70B at over 300 tokens per second — roughly 10x faster than standard GPU-based inference. The free tier is generous, and the speed advantage is immediately noticeable. The tradeoff is a smaller model selection compared to Together AI or Fireworks.
What It Does
Groq provides an inference API built on custom LPU (Language Processing Unit) hardware designed specifically for sequential workloads like language model inference. The platform supports a curated selection of open-source models including Llama 3, Mixtral, and Gemma with response times measured in milliseconds rather than seconds. The API is OpenAI-compatible, and Groq also offers GroqCloud for enterprise deployments.
What We Liked
- Speed is transformative: At 300+ tokens per second, Groq responses feel instant. Applications built on Groq have a qualitatively different user experience — there is no perceptible waiting.
- Generous free tier: Free accounts receive meaningful rate limits that allow real experimentation and prototyping before committing to paid usage.
- OpenAI-compatible API: Drop-in replacement for existing OpenAI integrations with a URL change, making adoption trivial.
- Consistent latency: LPU architecture provides deterministic performance — response times are predictable regardless of load, unlike GPU-based inference that varies with utilization.
What We Didn’t Like
- Limited model selection: Groq supports fewer models than Together AI or Fireworks. If you need a specific model that Groq doesn’t offer, you have no alternative on the platform.
- No fine-tuning: You cannot fine-tune models on Groq’s infrastructure. Custom models must be trained elsewhere and cannot be deployed on LPUs.
- Context length constraints: Maximum context lengths on some models are shorter than the same models on GPU-based platforms, limiting use cases that require processing long documents.
Pricing Breakdown
Groq offers a free tier with rate limits. Paid pricing is token-based: Llama 3.3 70B runs approximately $0.59 per million input tokens and $0.79 per million output tokens. Mixtral 8x7B is priced lower. Enterprise plans include dedicated capacity and SLAs.
The Bottom Line
Groq is the right choice when speed is the primary requirement. Real-time applications, interactive assistants, and latency-sensitive workflows benefit enormously from LPU inference. The model selection is narrower than competitors, but for the models Groq does support, nothing else comes close to matching the speed.
