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← Back to Groq Overview

Groq Pricing & Plans 2026

Complete pricing guide for Groq. Compare all plans, analyze costs, and find the perfect tier for your needs.

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🆓Free Tier Available
💎3 Paid Plans
⚡No Setup Fees

Choose Your Plan

Free

$0

n/a

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    Most Popular

    On-Demand

    Per-million-token pricing per model (Llama-class from ~$0.05 input / ~$0.10–$0.60 output per 1M tokens)

    usage

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      Enterprise

      Custom

      contract

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        Pricing sourced from Groq · Last verified March 2026

        Feature Comparison

        Detailed feature comparison coming soon. Visit Groq's website for complete plan details.

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        Is Groq Worth It?

        ✅ Why Choose Groq

        • • Custom LPU silicon delivers tokens-per-second that is typically 5–10x faster than GPU baselines on open LLMs
        • • OpenAI-compatible API plus a generous free developer tier make adoption a base-URL change away
        • • Per-token pricing on Llama-class models is at or below the open-model market while latency stays predictably low

        ⚠️ Consider This

        • • Model catalog is curated, not exhaustive — niche fine-tunes are easier to find on Together or Fireworks
        • • No first-party fine-tuning service today, so custom models must be trained elsewhere and may not port to LPU
        • • Capacity for popular models can be rate-limited during demand spikes; dedicated/Enterprise mitigates but adds cost

        What Users Say About Groq

        👍 What Users Love

        • ✓Custom LPU silicon delivers tokens-per-second that is typically 5–10x faster than GPU baselines on open LLMs
        • ✓OpenAI-compatible API plus a generous free developer tier make adoption a base-URL change away
        • ✓Per-token pricing on Llama-class models is at or below the open-model market while latency stays predictably low

        👎 Common Concerns

        • ⚠Model catalog is curated, not exhaustive — niche fine-tunes are easier to find on Together or Fireworks
        • ⚠No first-party fine-tuning service today, so custom models must be trained elsewhere and may not port to LPU
        • ⚠Capacity for popular models can be rate-limited during demand spikes; dedicated/Enterprise mitigates but adds cost

        Pricing FAQ

        What is an LPU and how is it different from a GPU?

        An LPU (Language Processing Unit) is custom silicon that Groq pioneered in 2016, purpose-built from the ground up for transformer model inference rather than adapted from graphics workloads. Unlike GPUs, which handle many parallel tasks but introduce variable latency under load, the LPU's architecture produces deterministic, predictable response times at much higher speeds. This makes it uniquely suited for real-time applications like voice assistants and chat, where consistent latency matters more than raw throughput. The tradeoff is that only models Groq explicitly ports to the LPU are available.

        How much does Groq cost and is there a free tier?

        Groq offers a free API key for developers to start building, and production usage is billed on a pay-per-token basis that varies by model. Specific pricing includes Llama 3.1 8B at $0.05/M input and $0.08/M output tokens, Llama 3.3 70B at $0.59/M input and $0.79/M output tokens, and Mixtral 8x7B at $0.24/M input and $0.24/M output tokens. By comparison, OpenAI's GPT-4o charges $2.50/M input tokens — making Groq's Llama 3.1 8B roughly 50x cheaper on input. Customer Fintool reported an 89% cost reduction after migrating from other infrastructure. Enterprise and high-volume customers can contact Groq directly for negotiated rates and dedicated capacity.

        Can I use Groq as a drop-in replacement for the OpenAI API?

        Yes — Groq exposes an OpenAI-compatible API, so you can switch most existing applications by changing the base URL to https://api.groq.com/openai/v1 and providing a GROQ_API_KEY. The official openai Python and JavaScript SDKs work without code changes to request/response handling. The main caveat is that you'll be calling open-source models like Llama or Mixtral rather than GPT-4, so prompt tuning may be needed. For teams already using OpenAI, migration often takes under an hour.

        Which models are available on GroqCloud?

        GroqCloud hosts a curated set of popular open-source models including Meta's Llama family, Mistral's Mixtral, Google's Gemma, and OpenAI's open models (Groq announced Day Zero support for OpenAI Open Models on August 5, 2025). The current full list is maintained at the GroqCloud models page. Unlike Bedrock or Azure, Groq does not offer proprietary frontier models like GPT-4, Claude, or Gemini. The selection is intentionally narrow to guarantee LPU-optimized speed on every supported model.

        Is Groq suitable for production enterprise workloads?

        Yes — Groq is built for production and is used by enterprises including the McLaren Formula 1 Team, PGA of America, and financial-intelligence platform Fintool. The company raised $750 million in September 2025 to expand capacity, and its LPU-based stack runs in data centers worldwide to deliver low-latency responses globally. Deterministic performance makes it particularly well-suited for regulated or SLA-bound workloads. Enterprise customers can engage directly for dedicated capacity, custom pricing, and support.

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