Groq, The Jouster's Review
Review of Groq, ultra-fast inference for open models. Pricing, alternatives, who it's for.
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Groq in brief
The fastest LLM inference on the market thanks to LPU chips, ideal for applications where latency is a critical criterion.
- PricePay-per-use API
- CategoryChat et modeles
- RecommendedYes
The Essentials
- Ultra-fast LLM inference infrastructure based on LPU (Language Processing Unit) chips
- Free access with rate limits, pay-per-use for production
- Available models: Llama, Mistral, Gemma, Qwen and other open weights
- Main objective: response speed, not model quality
What is Groq?
Groq (not to be confused with Grok, xAI's AI) is a company that has designed specialized chips for LLM inference, the LPUs. These chips are optimized to generate tokens as fast as possible. The result: Groq delivers output throughputs of 500 to 1000+ tokens per second on models like Llama, while a standard GPU does 50-100 tokens/second. The difference is perceptible: a paragraph-length response appears instantaneously.
Strengths
Unmatched inference speed
Groq is the fastest LLM infrastructure available. For applications that require near-real-time responses (voice agents, interactive assistants), the difference is decisive.
Generous free plan
The free plan at groq.com lets you test all models with rate limits. For development and prototyping, it's sufficient.
OpenAI-compatible API
Groq's API replicates the OpenAI interface. Migration from OpenAI = change the base URL and key.
Limitations
Model catalog limited to open weights
Groq doesn't run GPT, Claude, or Gemini. Only open models (Llama, Mistral, etc.). If you need Claude or GPT, Groq can't help.
Quality capped by open models
Maximum quality is that of the best available open model. Against Claude Sonnet or GPT-4o, the difference is still visible on complex tasks.
Pricing
Free plan with rate limits. Pay-per-use for production based on the chosen model. Rates at groq.com/pricing.
Alternatives
Groq = ultra-fast open model inference. Alternative Together AI (together.ai) = more models, slower. Alternative Ollama (ollama.com) = local, free, even slower.
Verdict
Groq is the infrastructure to use when latency is the number one criterion and open models (Llama, Mistral) are sufficient for your use case. For voice agents, real-time chatbots, or applications where every second counts, Groq changes the game. For maximum reasoning quality, frontier model providers (Anthropic, OpenAI) remain superior.
FAQ
Groq or OpenAI for a chatbot?
If speed matters and Llama is enough: Groq. If quality matters: OpenAI. If you want both: OpenAI for quality, Groq for discovery streaming.
Does Groq support streaming?
Yes, token streaming is supported and even more impressive than in standard mode.
Are Groq models the same as the official models?
Yes, Groq runs official model weights (Llama 4, Mistral 7B, etc.) without modification.
Does Groq have input token limits?
Yes, based on the model. Context windows are those of the executed models — check specs at groq.com.
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Screenshots Groq
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Groq : 0/10.
The fastest LLM inference on the market thanks to LPU chips, ideal for applications where latency is a critical criterion..
Test Groq yourself
A free trial is available. Plan thirty minutes to form your own opinion.
Affiliate link. Joute earns a commission at no extra cost to you. Our verdict stays independent.
Groq
Pay-per-use API