Fast, low-cost LLM inference API powered by Groq's LPU chip, serving open-source models like Llama, Kimi K2, and Qwen at low latency.
Fast, low-cost LLM inference API powered by Groq's LPU chip, serving open-source models like Llama, Kimi K2, and Qwen at low latency.
GroqCloud is the inference cloud built on Groq's custom Language Processing Unit (LPU), a deterministic processor designed specifically for generating tokens quickly and cheaply. Because the LPU avoids the memory-bandwidth bottlenecks that throttle GPUs, GroqCloud routinely returns the first token in under a second and streams completions at hundreds of tokens per second on models like Llama 3.3 70B, GPT-OSS, Kimi K2, and Qwen3 32B. The API is OpenAI-compatible: change the base URL and your existing OpenAI client works, including streaming, tool calling, JSON mode, and Whisper-style speech-to-text endpoints. GroqCloud's pricing is among the most aggressive in the market: GPT-OSS-class models run as low as $0.075/$0.30 per million input/output tokens, with the rest of the catalog sitting comfortably below frontier-API rates. There is a generous free developer tier with rate limits, then on-demand token billing, plus higher-throughput enterprise tiers for production workloads. Groq powers latency-sensitive copilots, agent loops that need many quick LLM calls, large-batch processing pipelines, and voice products where every extra second of TTFT damages the conversation. Many agent builders use Groq for the 'fast path' of an application — routing, tool selection, summarization — while reserving slower frontier models for complex reasoning steps.
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