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Groq

Not yet reviewed · be the firstFreemium

Inference on custom silicon, fast enough to change what you can build.

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Pricing

Verified 14 Jul 2026· source
Free
$0
Free API key to get started
Pay-as-you-go
usage-based/per token
Per-model token pricing, e.g. $0.05–$3.00 per 1M tokens; also $5/1000 requests, $8/1000 requests, $0.18/hour etc. All USD
Where the free tier stops: Free API key with rate limits to get started; scale via usage-based per-token pricing.
Prices as published by the vendor on the date shown. Many vendors price by region, so what you see on their site may differ. Always confirm on the source page before buying.
Information is reviewed manually, but pricing and features may change. Always verify details on the official website before purchasing.

Overview

Groq is a hardware company that sells inference. It designed its own chip — the LPU — specifically for running models rather than training them, and the result is token throughput that is not incrementally better than GPU inference but categorically different. That speed is not a vanity metric: it is what makes real-time voice agents, live translation and interactive multi-step agent loops actually feel responsive rather than laggy. GroqCloud exposes this through an OpenAI-compatible API, so pointing an existing application at it is roughly a base-URL change, and there is a free API key tier to try it with. The constraint is the catalogue. Groq runs the models it has ported to its hardware, which means open-weight models — you will not find frontier closed models here, and a model you want may simply not be available. Free-tier rate limits are tight, and this is an inference platform only; there is no training or fine-tuning story. Pick it when latency is the requirement and an open model is good enough.

Features

Custom LPU silicon purpose-built for inference rather than training
GroqCloud hosted API with OpenAI-compatible endpoints
Catalogue of open-weight models ported to the hardware
Free API key tier for development
Low, consistent time-to-first-token suited to real-time applications
Near drop-in migration from other OpenAI-compatible providers

Pros & cons

Pros

  • Token throughput is dramatically faster than typical GPU inference, and it changes what is buildable
  • OpenAI-compatible API means migration costs almost nothing
  • Free tier makes evaluation genuinely free
  • Ideal for voice agents and interactive loops where latency, not intelligence, is the bottleneck

Cons

  • Model catalogue is limited to what Groq has ported — no frontier closed models
  • Free-tier rate limits are tight and will not survive a real workload
  • Inference only; no training or serious fine-tuning capability
  • You are betting on one vendor's hardware, so model availability follows their porting schedule, not your needs

Who Groq is for

Groq is built for people working with api tools. Its free plan makes it easy to evaluate before paying, which suits both individuals and growing teams. Users most often highlight token throughput is dramatically faster than typical gpu inference, and it changes what is buildable.

How Groq compares in AI API Tools

Within api tools, the closest alternatives to Groq are Replicate, OpenAI API, Anthropic API — it is worth comparing them side by side on price and the specific features you need before deciding.

Groq pricing

Groq offers a free plan with paid upgrades. You can start for free and pay only when you need higher limits, advanced features or team seats. See the full Groq pricing breakdown →

Groq FAQ

Is Groq worth it?

Groq is most often praised for token throughput is dramatically faster than typical gpu inference, and it changes what is buildable. The main trade-off is that model catalogue is limited to what groq has ported — no frontier closed models. For most api tools needs it is a credible choice — trial it against one or two alternatives before you commit. ToolsPantry does not yet carry user reviews for this tool.

Is Groq free?

Groq offers a free plan with paid upgrades. You can start for free and pay only when you need higher limits, advanced features or team seats.

What are the downsides of Groq?

The most commonly noted drawbacks are: Model catalogue is limited to what Groq has ported — no frontier closed models; Free-tier rate limits are tight and will not survive a real workload; Inference only; no training or serious fine-tuning capability; You are betting on one vendor's hardware, so model availability follows their porting schedule, not your needs. None are dealbreakers for everyone, but weigh them against your specific workflow.

What are the best alternatives to Groq?

Strong alternatives in api tools include Replicate, OpenAI API, Anthropic API, Ollama. See the full ranked list on the Groq alternatives page.

The verdict

Groq is a api tools option, best known for token throughput is dramatically faster than typical gpu inference, and it changes what is buildable. The main trade-off is that model catalogue is limited to what groq has ported — no frontier closed models. Start on the free plan and compare it against the alternatives below before committing.

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