What is Groq?
Groq is a Silicon Valley AI infrastructure company that builds custom Language Processing Units (LPUs) โ specialized chips designed exclusively for AI inference. While the entire industry runs AI models on NVIDIA GPUs, Groq took a different path: designing hardware from the ground up to maximize the speed of sequential token generation, not just parallel matrix operations. The result is inference speeds that are 5โ10ร faster than GPU-based providers for the same models.
Groq doesn't train its own models. Instead, it serves leading open-source models โ Llama 4, Gemma 4, Mixtral, DeepSeek, and Whisper โ through a developer API that is largely compatible with the OpenAI API format. For developers who need fast responses for real-time applications (voice AI, interactive chatbots, live coding assistants), Groq is often the enabling technology that makes the application feasible.
In 2026, Groq launched GroqCloud with expanded model support, function calling, and vision capabilities โ moving from a pure inference speed play to a more complete developer platform. The free tier remains one of the most generous in the category for developers building and prototyping.
Key Features
LPU-Powered Inference Speed
Groq's LPU processes tokens sequentially with deterministic latency โ the same response time every time, with no queuing variability. On Llama 3.3 70B, Groq achieves 750+ tokens per second versus 50โ100 tokens per second on equivalent GPU infrastructure. This speed difference changes what's possible in latency-sensitive applications: voice AI responses that feel instant, coding assistants that complete suggestions before you finish typing, and real-time document processing pipelines.
OpenAI-Compatible API
Groq's API uses the same request/response format as the OpenAI API โ same endpoint structure, same JSON schema, same streaming protocol. Switching from OpenAI to Groq for open-source models typically requires changing one line of code (the base URL and API key). This drop-in compatibility makes Groq the fastest way to prototype with faster inference or reduce API costs for open-source model workloads.
Broad Model Support
GroqCloud serves Llama 4 Scout and Maverick, Gemma 4, Mixtral 8x7B and 8x22B, DeepSeek Coder, Whisper Large v3 (audio transcription), and more. The platform adds new open-source models quickly after release. For developers who want to benchmark different models at the same extreme speed, Groq is the fastest way to compare model quality without speed being a confounding variable.
Function Calling & Tool Use
Groq supports structured function calling โ the same JSON-based tool use interface popularized by OpenAI. AI agents that use tools (web search, database queries, API calls) can run their reasoning loops significantly faster on Groq, which compounds the speed advantage for multi-step agentic workflows. A 5-step agent that takes 30 seconds on standard GPU providers can complete in under 10 seconds on Groq.
โ Pros
- Fastest AI inference available โ 5โ10ร vs. GPU providers
- Generous free tier for development and prototyping
- OpenAI-compatible API โ 1-line migration
- Supports latest open-source models (Llama 4, Gemma 4)
- Deterministic latency โ predictable performance
- Very competitive pricing vs. closed providers
- Whisper audio transcription also at LPU speed
โ Cons
- Only serves open-source models โ no GPT-4o or Claude
- Rate limits on free tier can be restrictive
- Context windows smaller than some GPU-based providers
- Less model variety than Together AI or Replicate
- No fine-tuning โ inference only
- Enterprise SLAs still maturing vs. AWS/Azure/GCP
Pricing
- Free: 14,400 requests/day, rate-limited โ sufficient for development, prototyping, and low-traffic apps.
- Pay-as-you-go: Llama 4 Scout from $0.11/M input tokens, Llama 4 Maverick from $0.50/M input tokens. Gemma 4 from $0.20/M tokens. All significantly cheaper than equivalent closed-model APIs.
- Batch API: Discounted rates for asynchronous batch processing โ not time-sensitive workloads.
- Enterprise (custom): Dedicated capacity, custom rate limits, SLA guarantees, priority support.
Try Groq Free โ Fastest AI Inference, No Setup
Get a free API key and start running Llama 4, Gemma 4, and Mixtral at 10ร GPU speed. No credit card required for the free tier.
Get Free Groq API KeyGroq vs Competitors
| Provider | Hardware | Speed (tokens/s) | Open-Source Models | Best For |
|---|---|---|---|---|
| Groq | Custom LPU | 750+ T/s | Yes (Llama, Gemma, Mixtral) | Ultra-low latency apps |
| Together AI | GPU cluster | 100โ200 T/s | Yes (widest selection) | Model variety |
| Fireworks AI | GPU cluster | 100โ150 T/s | Yes | Function calling speed |
| OpenAI | GPU cluster | 60โ100 T/s | No (closed models) | GPT-4o, best quality |
| Replicate | GPU cloud | Varies | Yes (1000+ models) | Model variety, images |
Final Verdict
Groq is the definitive choice for developers who need the fastest possible AI inference and are building with open-source models. If your application is latency-sensitive โ voice assistants, real-time coding help, interactive agents, live content moderation โ Groq's LPU speed often transforms a technically feasible application into a genuinely delightful user experience.
The limitations are real: Groq only serves open-source models, so if you need GPT-4o or Claude, you'll need to go elsewhere. And for applications where response quality matters more than speed (complex reasoning, nuanced creative writing), the model matters more than the hardware. But for real-time inference at scale, Groq is unmatched โ and the free tier is one of the best in the industry for developers getting started.
Best for: Voice AI developers, real-time chatbot builders, AI agent developers, and anyone who needs open-source model inference faster than any GPU provider can deliver.
