Is the Llama API free? Yes, with one caveat worth knowing

Is Llama 3.3 70B free to use commercially?

Yes, for almost everyone. Llama 3.3 70B ships under Meta's community licence, which permits commercial use as long as your product has fewer than 700 million monthly active users. If you are above that line you already have a legal team; if you are below it, which is essentially every reader of this page, the model is yours to use commercially. That is a materially different deal from a proprietary API, where the terms and the price can change under you.

Meta's Llama 3.3 70B is one of the strongest open instruct models you can run today, and you can call it right now without paying anything. DreamPrompting gives you a free Llama 3.3 70B API through a single OpenAI-compatible endpoint. There is no credit card and no billing, just one free API key you can grab in seconds by signing in with Google. This post explains what Llama 3.3 70B is good at, why Groq makes it extremely fast, how to pin the model, and how to wire it into your apps and agents.

What is Llama 3.3 70B good at

Llama 3.3 70B is Meta's flagship open instruct model. It punches close to much larger closed models on reasoning, instruction following, and multilingual tasks, while staying fully open. In practice it is a strong all-round workhorse. Common jobs it handles well:

• Chat and assistants that need coherent, on-topic replies.
• Coding help, code explanation, and quick refactors.
• Summarization of long documents, threads, and transcripts.
• Extraction and classification for data pipelines.
• Tool-calling agents that plan and act in a loop.

Because it is open, you are never locked into one vendor. The same prompts you build here run against Llama anywhere, and the weights are public, so your work stays portable. That freedom is a big reason teams reach for a free Llama API instead of a proprietary model that can change pricing or terms overnight. Browse everything available on the models page.

Why Groq makes the free Llama API so fast

Speed is where this setup stands out. DreamPrompting routes Llama 3.3 70B through Groq, whose custom hardware serves the model at hundreds of tokens per second. Long answers that would crawl elsewhere stream back almost instantly, which matters a lot for chat and for agents that make many calls. If Groq is ever busy, the gateway fails over automatically to NVIDIA NIM, so your requests keep working. You get the raw speed of Groq with a safety net, all behind one free Llama API endpoint.

How to pin Llama 3.3 70B

The base URL is https://dreamprompting.com/api/v1. You can send "model": "auto" to let the gateway pick, or pin Llama directly with "groq/openai/gpt-oss-120b". Here is a curl request that pins the model:

curl https://dreamprompting.com/api/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "groq/openai/gpt-oss-120b",
    "messages": [
      {"role": "user", "content": "Explain quicksort in three sentences."}
    ]
  }'

Replace YOUR_API_KEY with the free key from your account page. You can also pin the smaller nvidia/meta/llama-3.1-8b-instruct when you want lower latency on simpler tasks.

Python OpenAI SDK example

Because the endpoint is OpenAI-compatible, the official SDK works with two changed lines. Point the base URL at DreamPrompting and use your free key:

from openai import OpenAI

client = OpenAI(
    base_url="https://dreamprompting.com/api/v1",
    api_key="YOUR_API_KEY",
)

resp = client.chat.completions.create(
    model="groq/openai/gpt-oss-120b",
    messages=[
        {"role": "user", "content": "Summarize the plot of Hamlet in 4 bullet points."}
    ],
)
print(resp.choices[0].message.content)

Want tokens as they generate? Set "stream": true and read the response as server-sent events, exactly as you would with any OpenAI streaming call. Full request and response details live in the API docs.

Use cases and rate limits

The free Llama 3.3 70B API fits chatbots, coding assistants, batch summarization, and autonomous agents. The rate limit is 100 requests per minute per IP, plus a rolling 24 hour account quota of 5,000 requests and 500,000 tokens, which is generous for prototyping and light production. For summarization you can feed long inputs and let Llama 3.3 70B condense them into bullets or an abstract. For coding, ask it to explain a stack trace, draft a function, or convert code between languages. For agents, its solid instruction following keeps multi-step plans on track. You can check your remaining budget any time with a GET to /api/v1/quota, and list every available model with /api/v1/models. If you are building tool-using agents, read the guidance on the agents page for loop patterns and failover behavior.

FAQ

Is Llama 3.3 70B really free here? Yes, and so is the key. There is no cost and no card. Grab a key from your account page, point your client at the base URL, and start sending requests within the rate limit.

How fast is it? Very fast. Served through Groq, Llama 3.3 70B streams at hundreds of tokens per second, with automatic failover to NVIDIA NIM so requests keep flowing.

Can I use it for agents? Absolutely. The endpoint is OpenAI-compatible and supports streaming, so most agent frameworks work with only a base URL change. See the for-agents guide.

Ready to build? Explore the full lineup on the models page, or try Llama 3.3 70B live in the chat playground before you write a single line of code.