Free
Free
- Limited usage
- Pay-per-token
- Access to multiple models
- Community support
Groq is an AI infrastructure company founded in 2016 by former Google engineers, including Jonathan Ross (one of the designers of Google's Tensor Processing Unit) and Douglas Wightman. Headquartered in Mountain View, California, Groq provides specialized AI compute solutions focused on accelerating AI inference workloads using its custom-built Language Processing Unit (LPU) hardware. The company's platform offers some of the most competitive pricing in the AI inference market, with ultra-low latency and exceptional throughput. Groq provides access to models from multiple providers including OpenAI, Anthropic, Google, Cohere, and Mistral through a pay-as-you-go model charging per token consumed. The company offers three billing tiers—Free, Developer, and Enterprise—with additional cost-saving features like Batch API (50% discount) and Prompt Caching (50% discount on cache hits). With offices across North America and Europe, Groq has established itself as a leading alternative to traditional cloud GPU providers, particularly for teams optimizing for inference speed and cost efficiency.
Core capabilities this platform advertises.
What this tool does well, and the limitations to keep in mind.
Pros
Cons
What's included in each plan, and how the tiers compare.
Free
Pay-as-you-go
Per token
Custom
Contact sales for a quote
Developers building real-time AI applications where inference speed is the top priority
Groq and Respan provide ultra-fast AI inference with comprehensive cost tracking. Run models on Groq's LPU hardware while monitoring performance and costs with Respan.
Top companies in Inference & Compute you can use instead of Groq.
NVIDIA
H100 and B200 GPU clusters
llama.cpp
GGUF universal model format (weights + tokenizer + metadata in one file)
CoreWeave
Large-scale GPU clusters (H100, A100)
Together AI
Inference and training cloud
Fal.ai
Media inference
Nebius
GPT4All
LocalDocs — chat with your local files using built-in RAG
Lambda
NVIDIA GPU cloud instances
Anyscale
Plano
Cerebras
Wafer-scale inference chips
Fireworks AI
Optimized inference for open-source models
Modal
Serverless cloud for AI
Prime Intellect
Decentralized distributed AI training
Replicate
Hyperbolic
DePIN
RunPod
On-demand GPU instances
DigitalOcean
GPU droplets
Vultr
GPU cloud
SambaNova
Baseten
Vast.ai
Novita AI
RunAnywhere
On-device AI deployment
Klaus AI
OpenClaw model hosting
Cumulus Labs
Multimodal inference optimization
Piris Labs
Cerebras-class speed
Side-by-side comparisons with other tools in this category.
Companies from adjacent layers in the AI stack that work well with Groq.
Last verified: March 9, 2026