Groq
Fastest inference for open models
Groq provides blazing-fast inference for open-source LLMs like Llama and Mixtral using custom LPU hardware.
Our Verdict
Groq is the fastest LLM inference available. Perfect when latency matters and you're okay with open-source models.
Pros & Cons
Pros
- +Incredibly fast inference
- +Low latency (~100ms)
- +Affordable pricing
- +Open source models
Cons
- -Limited model selection
- -No fine-tuning
- -Newer platform
Build vs Buy with AI
Buy This ToolVery Hard to BuildNot feasible (custom hardware)
Groq's speed comes from custom LPU chips they designed and manufactured. You cannot replicate this without building your own silicon. For self-hosted inference, use vLLM or TensorRT on GPUs.
Key Considerations
- •Groq's LPU is custom silicon - not replicable
- •vLLM on GPUs offers good open model inference
- •Self-hosting requires significant GPU investment
- •For low latency needs, Groq's API is the answer
Features
Chat/CompletionYes
EmbeddingsNo
Image generationNo
Vision(Llava)Yes
Fine-tuningNo
Function callingYes
Open models(Llama, Mixtral)Yes
Best For
Real-time applicationsCost-sensitive projectsOpen model advocates
Pricing
Free tier available
Free$0
- - Rate limited
- - Basic models
- - Community support
DeveloperPer token
- - Higher limits
- - All models
- - Priority
EnterpriseCustom
- - Dedicated
- - SLA
- - Support
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Last updated: 2026-01-15