What are the Groq free tier limits?

The free tier is gated by per-minute and per-day request and token limits that vary by model and change over time, rather than a fixed dollar cap. Larger models usually have tighter ceilings. Verify the current numbers in Groq's own console, since published limits shift.

How much does the Groq API cost?

Paid usage is pay-as-you-go, priced per million input and output tokens per model, with smaller open models costing less than larger ones. Exact prices move, so the only reliable figure is a current one. Compare Groq against other hosts per model in the Perkstack rankings.

Why is the Groq API so fast?

Groq runs inference on custom hardware (its LPU architecture) built for low-latency token generation rather than general-purpose GPUs, which delivers very high tokens-per-second and low time-to-first-token on supported open-weight models. That speed matters most for interactive chat, agent loops, and streaming UIs.

Groq API in 2026: Free Tier Limits, Pricing, Speed & How to Use It

Q: Is the Groq API free?

Groq offers a no-card free tier aimed at prototyping and low-latency experiments. It is an ongoing rate-limited allowance rather than a one-time dollar credit, so it suits steady testing but not production traffic. Check Groq's console for current limits.

How the Groq API works in 2026: the no-card free tier and its limits, how pricing compares, why it is so fast, and how to wire it into your existing OpenAI code.

Looking to run models on the Groq API for free? Here is the practical 2026 picture: Groq offers a no-card free tier, very high inference speed, and an OpenAI-compatible API, which makes it one of the easiest fast inference hosts to start on. This covers the free tier and its limits, how pricing tends to compare, why Groq is so fast, and how to wire it into code you already have.

Groq shows up constantly in our cost and speed comparisons. For the current, dated view of where each model is cheapest, see the rankings; for credit programs and free tiers across providers, see the catalog.

Does the Groq API have a free tier?

Yes. Groq offers a free tier you can start on with no credit card, aimed at prototyping and low-latency experiments. You create an account, generate an API key, and call the models directly. There is no waitlist and no cloud billing setup to wire up first.

What you get for free is an ongoing rate-limited allowance rather than a one-time dollar grant. That distinction matters: a free tier keeps refilling within its limits, so it suits steady prototyping, while a signup credit (the model used by some other providers) is a fixed pool you spend once. If you want one-time dollar credits instead, those live with other providers in the catalog and are covered in free AI API credits.

Free tier limits to expect

Groq's free tier is gated by rate limits rather than a hard dollar cap, and the exact numbers vary by model and change over time, so treat any specific figure you see elsewhere as a snapshot. In practice you should plan around:

Per-minute and per-day request limits.
Per-minute and per-day token limits.
Limits that differ per model (larger models usually have tighter ceilings than smaller ones).

The free tier is generous enough for building and testing, but it is not sized for production traffic. Once you have real, sustained load you will move to a paid tier. For the current limits, check Groq's own console, since published numbers are the only reliable source and they shift.

Groq API pricing

Groq's paid usage is pay-as-you-go and priced per million input and output tokens, the same shape as most LLM APIs. We are not going to quote exact figures here, because per-model prices move and the only number worth trusting is a current one. What is stable is the pattern:

Pricing is per model, and smaller open models cost less than larger ones.
For many open-weight models, Groq is competitive with other specialized inference hosts, and the cheapest provider for a given model changes over time.
The same open model can vary widely in price across hosts, so the provider you start on is rarely the cheapest one for every model.

Because of that last point, do not assume one host wins across the board. Our per-model price trackers show the cheapest verified endpoint for each popular model, normalized to a single unit and re-pulled regularly, so you can see where Groq leads and where another host is cheaper for your exact model.

Why Groq is fast

Groq's draw is speed. It runs inference on custom hardware (its LPU architecture) built specifically for low-latency token generation rather than on general-purpose GPUs. The practical result is very high tokens-per-second and low time-to-first-token on supported open-weight models.

That matters most for:

Interactive features where users wait on the response (chat, copilots, live agents).
Multi-step agent loops where each step's latency stacks up.
Streaming UIs where perceived speed depends on how fast the first tokens arrive.

For batch or async work (evals, backfills, bulk extraction) raw latency matters less, and the cheapest provider per token usually wins instead. Matching the host to the workload is the same principle covered in the cheapest way to run LLMs.

What models Groq serves

Groq focuses on open-weight models rather than its own closed frontier models. The lineup centers on popular open families (Llama and similar open models, with other open-weight options added over time), which is why Groq often appears alongside hosts that serve the same open models at different prices. Because the models are open weights served by many providers, switching hosts to chase a lower price or higher speed is usually a small change, not a rewrite. Check Groq's console for the current supported list, since it changes.

How to use the Groq API

Getting started is short:

Create a Groq account and generate an API key (no card, no waitlist).
Pick a supported model.
Call it through the OpenAI-compatible endpoint.

The key convenience is that Groq exposes an OpenAI-compatible API. In most cases you point your existing OpenAI SDK at Groq by changing the base URL and the model name, and your code keeps working. That also makes A/B comparisons easy: swap the base URL to test Groq against another host on the same prompts and measure both speed and cost.

When you will outgrow the free tier

The free tier is rate-limited and built for prototyping, so you will move off it when sustained traffic starts hitting the per-minute or per-day ceilings. At that point:

Move to a Groq paid tier for higher limits if speed is your priority.
Re-compare per model in the rankings, since another host may be cheaper for the specific models you run.
Cut tokens, not just price per token (trim prompts, cap output length, cache repeated calls).

A simple sequence works well: prototype on the free tier, keep latency-sensitive features on Groq if speed is the priority, and route bulk or cost-sensitive traffic to whichever host is cheapest for that model.

Bottom line

The Groq API gives you a no-card free tier, very fast inference on open-weight models, and an OpenAI-compatible API that drops into existing code. Treat the free tier as a rate-limited prototyping allowance, verify current limits and prices at the source, and compare hosts per model before you scale. Compare providers in the rankings, track free tiers and credits in the catalog, and create a free Perkstack account to keep both in one place.