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LLM Inference🔴Developer
G

GroqCloud

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.

Starting at$0
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💡

In Plain English

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.

OverviewFeaturesPricingUse CasesFAQ

Overview

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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Key Features

Feature information is available on the official website.

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Pricing Plans

Free

$0

    On-Demand

    From $0.075/Mtok

      Enterprise

      Custom

        See Full Pricing →Free vs Paid →Is it worth it? →

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        Best Use Cases

        🎯

        Voice agents and live conversation

        ⚡

        Multi-turn agent loops needing many fast LLM calls

        🔧

        Real-time summarization and routing

        🚀

        Batch processing of large document sets

        💡

        Cost-optimized fast path in mixed-model systems

        Pros & Cons

        ✓ Pros

        • ✓Time-to-first-token under a second changes the feel of conversational UIs
        • ✓Drop-in OpenAI client compatibility — switching costs near zero
        • ✓Pricing roughly 10x cheaper than frontier APIs for similar-quality open models
        • ✓Whisper STT lets one provider cover both fast LLM and ASR for voice agents
        • ✓Generous free developer tier for prototyping

        ✗ Cons

        • ✗No frontier closed models (no GPT-4, no Claude, no Gemini)
        • ✗Open-model catalog rotates — production code should pin and watch for deprecations
        • ✗Rate limits on Free tier hit fast in heavy agent loops
        • ✗Very long contexts reduce throughput compared to shorter prompts

        Frequently Asked Questions

        How much does GroqCloud cost?+

        GroqCloud pricing starts at $0. They offer 3 pricing tiers.
        🦞

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        Quick Info

        Category

        LLM Inference

        Website

        groq.com
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