Groq
Blazing-fast inference on custom LPU chips: open models at hundreds of tokens per second.
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Our review
Groq's custom LPU chips push open-model inference to hundreds of tokens per second — Llama and Qwen respond almost instantly — behind an OpenAI-compatible API with a generous free tier. Once you've felt the speed, it's hard to go back.
The catalog is mostly open models and features are leaner than first-party APIs. But for latency-sensitive real-time apps like voice assistants and interactive agents, Groq's speed is the product.
Pros
Cons
Key features
Best for
Who it's not for
Limits to plan for
- 模型以开源为主，覆盖有限
- 平台功能精简
- 高峰限速
FAQ
What is Groq?
Blazing-fast inference on custom LPU chips: open models at hundreds of tokens per second.
What are the pros and cons of Groq?
Pros: Astonishing speed, Generous free tier, OpenAI-compatible, Cheap. Cons: Mostly open models, Lean feature set, Peak rate limits.
How much does Groq cost?
Free tier: Free; Pay as you go: Per token.
Who is Groq for?
Best for Real-time voice apps, Low-latency agents, High-concurrency inference, Cost optimization.
What are the alternatives to Groq?
Consider OpenRouter, Replicate, Ollama.
Pricing
- • Developer free tier
- • Rate-limited calls
- • Higher limits
- • Production SLA
Rating
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