Groq

Groq Review 2026 — Features, Pricing & Use Cases

Run open AI models at speeds GPUs struggle to match.

Groq is an AI inference company whose GroqCloud platform serves open models on custom LPU chips. One report puts Llama 4 Scout above 460 tokens per second on GroqCloud, against roughly 100–150 on Nvidia H100 hardware. You get a free tier to test and pay-as-you-go pricing after that.

Groq is a Mountain View company that designs the Language Processing Unit, or LPU, a chip built only for running AI models. Its cloud platform, GroqCloud, lets you call popular open models through an API. The pitch is speed and predictable cost.

In December 2025, Nvidia paid about $20 billion to license Groq’s inference design and hire most of its team. Groq kept GroqCloud running as its own business. That makes the story unusual, and worth watching.

How to Get Started with Groq

Create a GroqCloud account. Sign up at the console with your email or Google login. You land in the playground right away.
Test models in the playground. Run the same prompt on two models and compare speed and quality. Note which model fits your task.
Generate an API key. Open the keys page and create one. Store it in an environment variable, never in your code.
Point your code at Groq. Change your base URL and key in your existing client. Send a test request and time the response.
Add caching and batch. Move long repeated prompts to cached prefixes and offline jobs to the batch endpoint. Review your usage page after a week.

Groq vs Competitors

Groq vs Cerebras. Choose Groq if you want a mature developer console, audio models, and discounts for batch and caching. Choose Cerebras if you want to test its wafer-scale hardware, which also targets very fast inference. The key difference is silicon design. Both aim at speed, so benchmark your own prompts before deciding.

Groq vs Together AI. Choose Groq when response speed is your top need. Choose Together AI if you need a wider model catalog, fine-tuning, or GPU clusters. Together is broader. Groq is faster on the models it carries.

Final Verdict

Groq suits developers who care about latency, such as voice agents and real-time chat builders. Its standout feature is raw output speed at low per-token prices. The caveat is a narrower model list than rivals, plus strict free-tier limits and some uncertainty after the Nvidia deal. If speed drives your product, test it today. Start free at groq.com.

LPU Inference Speed Groq’s chips use on-chip memory and a deterministic design instead of the usual GPU approach. The result is very fast token output. Groq publishes rates of about 1,000 tokens per second for gpt-oss-20b and about 500 for gpt-oss-120b. You feel this in chat apps, voice agents, and any tool where waiting hurts.

GroqCloud API GroqCloud gives you a developer console and an API that mirrors the format many teams already use. You swap a base URL and key, and your existing code mostly works. That cuts migration time. You can test speed without rewriting your app.

Whisper Speech-to-Text GroqCloud serves Whisper models for audio transcription. Reviewers cite paid Whisper rates of $0.04–$0.111 per hour, against $0.36 per hour at OpenAI. If you transcribe meetings or calls, those savings add up fast. Fast turnaround also helps live captioning.

Batch API You can send large, non-urgent jobs through a batch endpoint. Groq lists a 50% discount for batch processing. This suits nightly data labeling, document summaries, and evaluations. You trade speed for cost.

Prompt Caching When your prompts repeat the same long prefix, Groq discounts the cached part. The cache-hit discount is listed at 50%. Agents with long system prompts benefit most. Your bill drops without code changes.

Groq Compound Compound systems bundle a model with tools such as web search and code execution behind one call. You skip building the orchestration yourself. This helps if you want an agent quickly. It is also a way to see how fast tool loops feel on LPUs.

Voice and chatbot developers who cannot afford lag. Fast token output keeps conversations feeling natural.

Product teams adding AI to existing apps. The familiar API format means you can test Groq in an afternoon.

Data teams running large offline jobs. Batch pricing at half cost fits classification and summarization at scale.

Hobbyists and students learning to build with LLMs. The free tier lets you experiment without a card.

Pricing & Plans

Plan	Price	What’s Included	Best For
Free	$0	Rate-limited API access to supported models	Testing
Developer	Pay as you go	Per-token billing, higher limits, batch and caching discounts	Startups
Enterprise	Custom	Dedicated capacity, SLAs, GroqRack on-premises	Large teams

Pay-as-you-go pricing starts at $0.05 per million input tokens. Rates vary by model, and audio pricing is separate. There is no monthly versus annual choice, because billing is usage based. The model lineup changes often, so check the live page before you commit.

Pros:

Output speed is among the fastest of any hosted LLM service.
Entry pricing starts at $0.05 per million input tokens.
Batch and caching both offer 50% discounts.
A free tier needs no payment details to start.
Whisper pricing undercuts the OpenAI rate cited above.

Cons:

Reviewers say free-tier rate limits are strict.
The catalog is narrow, and Llama 3.1 8B Instant was retired for free and developer tiers on August 16, 2026.
Text-to-speech runs $22–$50 per million characters, which is far above text rates.

Yes, the API is the product. The Free tier gives limited access, and the Developer tier unlocks higher limits and pay-as-you-go billing. You can build chat apps, voice agents, transcription tools, and batch pipelines. Enterprise customers can request dedicated capacity.

Similar AI Tools

Nanonets AI

October 11, 2026 No Comments

Nanonets uses AI to pull data out of invoices, receipts, forms and other documents, then routes it into the apps you already use. It suits finance and operations teams that process documents at volume. Capterra users rate it 4.8 out of 5 across 81 reviews, and G2 users give it 4.7 across 102.

Parabola AI

October 11, 2026 No Comments

Parabola is a no-code data automation platform for finance and operations teams, now centered on its Prowork AI workspace. G2 shows a 4.9 out of 5 rating from 51 reviews. It stands out for flows you can inspect step by step

Scholarcy AI

October 11, 2026 No Comments

Scholarcy reads academic papers and breaks them into structured summary flashcards, with key points, references, tables and figures pulled out for you. It suits students, researchers and librarians who screen a lot of literature. Its edge is structure rather than chat: you get consistent sections instead of one blob of text. Trustpilot shows a 4.7 out of 5 score from about 35 reviews.

Genei AI

October 11, 2026 No Comments

Genei is an AI research assistant that summarizes PDFs and web pages and answers questions about them. It suits students, academics, and writers who read a lot. It came out of Y Combinator’s Summer 2021 batch.