Groq / groq.com
Ultra-fast AI inference platform using custom LPU hardware to run open source LLMs at speeds significantly faster than GPU-based alternatives.
Free plan
Yes
API access
Yes
Open source
No
Platforms
2
Groq is not primarily an AI model company — it is an inference company. The core product is Groq's custom Language Processing Unit (LPU) hardware, which achieves inference speeds for large language models that are significantly faster than what standard GPU-based infrastructure delivers. In practice, this means receiving responses from open source LLMs in a fraction of a second rather than several seconds, which has a tangible impact on the user experience for real-time applications.
For developers building voice AI, real-time chat interfaces, gaming AI, or any application where response latency is critical, Groq's speed advantage is genuinely meaningful. The difference between a 500ms response and a 5,000ms response in an interactive AI application is the difference between feeling conversational and feeling like waiting.
Groq's platform runs leading open source models including Llama and Mixtral, with pricing competitive with other inference providers and sometimes cheaper for equivalent models. The free tier is generous for evaluation, with rate limits suitable for testing and light development use.
The primary limitation is model selection. Groq runs a curated selection of open source models rather than the full breadth of models available on Hugging Face or Replicate. Organisations needing specific models not yet available on Groq must use alternative providers.
Groq is also launching Groq Cloud for enterprise customers with dedicated capacity and SLA guarantees, positioning it for production applications where both speed and reliability matter.
Groq runs as ml inference platform software built around text and audio workflows. Users typically start with a prompt, upload, or connected data source, and the underlying model handles the heavy lifting before returning a result you can refine or export. It's available on web and api, with API access for teams that want to embed it into their own products.
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The capabilities that matter most for teams evaluating Groq.
Custom Language Processing Units delivering significantly faster LLM inference than standard GPU infrastructure.
Endpoints compatible with OpenAI's API format, enabling easy migration from OpenAI to Groq for open source models.
Free consumer chat interface demonstrating the speed advantage of Groq's LPU hardware compared to standard inference.
Free tier with generous rate limits for evaluation. Usage-based from $0.05/million tokens for small models to $0.90/million for large models. Enterprise custom pricing.
Model
Usage-based
Starting price
Free
Free trial
No
Together AI is a competitor with broader model variety. Hugging Face Inference API offers more model selection. For proprietary models with fast inference, Anthropic and OpenAI continue to invest in inference speed.
A side-by-side look at the closest alternative in this category.
Key facts about model providers, platforms, and team support.
Model Provider
Meta, Mistral AI
Models
Llama 3.3, Mixtral, Whisper, Llama Vision
Platforms
Web, API
Deployment
SaaS, API
Integrations
Python, Node.js, API, OpenAI-compatible
Team Collaboration
No
Launch Year
2016
Compliance signals and data-handling notes as reported by the vendor.
Enterprise includes dedicated capacity, SLA guarantees, and data handling agreements. SOC 2 compliant.
Review Groq's data handling policy. Groq uses its own LPU hardware, not third-party cloud providers, for inference. Enterprise includes data processing agreements.
Editorial Verdict
Groq is the best choice for developers building real-time AI applications where response latency is critical. For broader model variety, Together AI or Hugging Face Inference are better choices.
Last verified July 24, 2026.
For non-developers, Groq offers GroqChat, a free chat interface demonstrating the speed difference with a consumer-facing experience.
YouTube10:25Free tier with generous rate limits for evaluation. Usage-based from $0.05/million tokens for small models to $0.90/million for large models. Enterprise custom pricing.
Free tier with limited compute credits. Usage-based pricing per model run, starting from fractions of a cent for small models to several cents for large GPU-intensive models. Enterprise custom pricing.
Enterprise includes dedicated capacity, SLA guarantees, and data handling agreements. SOC 2 compliant.
Enterprise custom pricing includes SLAs, dedicated infrastructure, and security controls.
Review Groq's data handling policy. Groq uses its own LPU hardware, not third-party cloud providers, for inference. Enterprise includes data processing agreements.
Review individual model licences before commercial deployment. Some open source models have non-commercial or restricted use licences. Replicate does not own the models it hosts.
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