Download prompt
Online now · no signup · no API key

Need a free AI API that works without an API key?

Send a request to api.apiaifree.com and get an answer from a fast language model. No account, no key, no card and no daily quota. The format matches the chat completions API you already use, so switching takes one line.

POSThttps://api.apiaifree.com/v1/chat/completions
$0per request, no paid tier
0 keysanonymous HTTPS calls
1 lineto switch an OpenAI SDK
Live chatruns on the public API
Hi! This chat calls the same free API you can use in your code. Ask me anything, or pick an example below.

Free AI API: questions and answers

The short version of everything people ask before they send the first request: what the service is, how it differs from paid APIs and what its limits are.

What is a free AI API?

A free AI API is a web address your program can call to get answers from a language model without paying per request. You send text over HTTPS and receive generated text back. The Free AI API on this site follows the chat completions format most developers already know, so existing code and SDKs keep working after you change one line: the base URL.

How can an AI API work without an API key?

An API key identifies who is calling so that a provider can bill them. This API has no billing, so it has nothing to identify. The endpoint accepts anonymous requests, checks only their size and format, and returns the answer. If your library refuses to start without a key, pass any text such as "free" and it will be ignored.

Is the API really free, or is there a hidden paid tier?

It is free to call and there is no paid tier, no trial period and no card form anywhere on the site. You never create an account, so there is nothing to upgrade. The only rule is fair use: a single IP address can hold up to eight connections at the same time.

What is the difference between a free AI API and a free trial of a paid API?

A free trial gives you credits that run out, after which every request is billed to a card. A free AI API has no credits and no expiry date. The trade-off is that a paid API usually offers larger models, an uptime contract and support, while a free one gives you a capable model with no promises attached.

Which model answers the requests?

Requests are answered by a fast open-weight chat model with about nine billion parameters, served on our own GPU hardware. It writes and edits text, explains code, translates, summarises and holds a multi-turn conversation. The model name in the API is free-ai; other names you may send, such as gpt-4o, are accepted and routed to the same model.

Is the Free AI API compatible with the OpenAI SDK?

Yes. The endpoint /v1/chat/completions accepts the same JSON body and returns the same response shape, including streaming chunks. In the official Python or JavaScript SDK set base_url to https://api.apiaifree.com/v1 and put any string in api_key. Tools built on that format, such as LangChain or n8n, connect the same way.

What are the limits of the API?

There is no daily quota and no per-minute request limit. The technical limits are: up to eight parallel connections per IP address, a request body of up to 1 MB, up to 120,000 characters of input across all messages, and up to 8,192 tokens in one answer. When all model slots are busy you may get a 503 response; retrying after a few seconds works.

What is the "Download prompt" button for?

It saves a text file that describes this API for an AI assistant: the base URL, the endpoints, the limits and reference calls. Paste it into ChatGPT, Claude, Cursor or another coding assistant, add one sentence about what you want to build, and the assistant writes code that calls the API correctly on the first try.

Can I call the API from a browser?

Yes. Cross-origin requests are allowed from any website, so plain fetch() in front-end JavaScript works with no proxy server. Because there is no key, there is also no secret to hide in your page source, which is the usual reason browser calls to AI APIs are unsafe.

Does the API support streaming?

Yes. Send "stream": true and the answer arrives as Server-Sent Events, one small chunk per token group, ending with a [DONE] line. The chat on this page uses exactly that mode. Streaming makes interfaces feel fast because the first words appear in well under a second.

Do you store my prompts or the answers?

No. The API keeps a technical log with the time, the endpoint, the size of the request and the answer, the response time, the country and a salted hash of the IP address. The text of your messages and of the model answers is not written to the log or to any database.

Can I use the Free AI API in a commercial product?

You may call it from commercial projects, prototypes and internal tools. Keep in mind that the service comes with no uptime guarantee, so for a product with paying customers it is sensible to keep the base URL configurable and have a second provider ready as a fallback.

What is the difference between /ask and /v1/chat/completions?

The /ask endpoint takes one question in the q parameter and returns plain text, which suits shell scripts, spreadsheets and quick tests. The /v1/chat/completions endpoint takes a list of messages with roles, supports system instructions, conversation history and streaming, and returns a structured JSON object.

Does the model remember earlier messages?

The API is stateless. Nothing is remembered between calls, so to continue a conversation you send the earlier messages again in the messages array. This is the same behaviour as other chat completion APIs and it keeps your data on your side.

What can I build with a free LLM API?

Typical projects are chat widgets, Telegram and Discord bots, text summarisers, translators, product description generators, form and email assistants, code explainers, study helpers and automations in tools such as n8n or Google Sheets. Anything that turns text into better text is a good fit.

Download the prompt and let your AI assistant write the code

The fastest way to use the free AI API is not to read documentation at all. Give the integration prompt to the assistant you already work with.

  1. Download or copy the prompt. It is a plain text file with the base URL, every endpoint, the limits and reference calls.
  2. Paste it into your assistant. ChatGPT, Claude, Gemini, Cursor, Copilot and local models all understand it.
  3. Describe your task in one sentence at the end, for example “a Telegram bot that answers questions about my price list”.
  4. Run the code you get. It calls api.apiaifree.com directly, with no key to configure.

The same description is published for crawlers and agents at /llms.txt.

FREE AI API — INTEGRATION PROMPT
Paste everything below into ChatGPT, Claude, Cursor, Copilot or any coding assistant,
then describe what you want to build. The assistant will write working code for you.
------------------------------------------------------------------------------------

You are helping me build software that calls a free, keyless AI API. Use ONLY the facts
below about the API. Do not ask me for an API key: none exists and none is needed.

SERVICE
- Name: Free AI API (apiaifree.com)
- Base URL: https://api.apiaifree.com/v1
- Authentication: none. No API key, no signup, no account, no billing.
  If a library insists on a key, pass any non-empty string, for example "free".
- Protocol: OpenAI-compatible Chat Completions. Any OpenAI SDK works when you change base_url.
- Model name: "free-ai" (any other model name is accepted and mapped to the same model).
- CORS: enabled for every origin, so the API can be called straight from browser JavaScript.

ENDPOINTS
1. POST https://api.apiaifree.com/v1/chat/completions
   JSON body:
     messages     (required) array of {"role": "system"|"user"|"assistant", "content": "text"}
     max_tokens   (optional) default 1024, maximum 8192
     temperature, top_p, stop, seed, presence_penalty, frequency_penalty (optional)
     stream       (optional) true returns Server-Sent Events in OpenAI chunk format, ending with "data: [DONE]"
     reasoning    (optional) true lets the model think step by step before answering; then set max_tokens to 2000 or more
   Response: standard OpenAI object; the answer text is choices[0].message.content
2. GET or POST https://api.apiaifree.com/ask?q=YOUR+QUESTION
   Returns the answer as plain text. Add &format=json for {"answer": "..."}.
   Optional: &system=INSTRUCTIONS and &max_tokens=NUMBER. Best for shell scripts, spreadsheets and quick tests.
3. POST https://api.apiaifree.com/v1/completions     plain text completion with a "prompt" field
4. GET  https://api.apiaifree.com/v1/models          list of models
5. GET  https://api.apiaifree.com/health             {"status": "ok"} when the model is up

LIMITS AND BEHAVIOUR
- No daily quota and no per-key limits. Fair use: at most 8 parallel connections per IP address.
- Request body up to 1 MB; all messages together up to 120,000 char…

Quick start: your first request in under a minute

Pick a language, copy the snippet and run it. There is nothing to install for curl and nothing to register for any of them.

curl https://api.apiaifree.com/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{
    "model": "free-ai",
    "messages": [
      {"role": "system", "content": "You are a concise assistant."},
      {"role": "user", "content": "Explain what an API is in one sentence."}
    ]
  }'

What you get with this free AI API

The service is deliberately small: one model, a handful of endpoints and no account system. That is what keeps it free and simple to adopt.

No API key and no signup

There is no registration form on this site. Requests are anonymous, so there is no key to create, rotate, leak or hide in environment variables.

OpenAI-compatible format

The request and response follow the chat completions schema. Official SDKs, LangChain, LlamaIndex, n8n and similar tools connect by changing the base URL.

Streaming answers

Set stream to true and tokens arrive as Server-Sent Events while the model is still writing, which is what makes chat interfaces feel instant.

Browser calls allowed

CORS is open for every origin. A static page on any host can call the API with fetch(), without a backend in between.

Prompts are not stored

The log holds sizes, timings and a hashed IP address. The text you send and the text you receive never reach a database.

A prompt instead of a manual

One downloadable text file teaches any AI assistant how to use the API, so you can go from idea to working code in a single conversation.

How the keyless API works

From your request to the answer

Your program opens an HTTPS connection to api.apiaifree.com and posts a JSON body with a list of messages. A gateway checks that the body is valid and within the size limits, removes parameters the model does not understand and forwards the conversation to a GPU server that runs the language model.

The model generates the reply token by token. In normal mode the gateway waits for the full text and returns one JSON object; in streaming mode it relays every chunk the moment it is produced. The gateway then writes one line of metadata to the log and forgets the request.

Why there is no key

Most AI providers use keys to attach each call to a billing account. Because nothing is billed here, a key would only add friction: a signup form, an email confirmation, a dashboard and a secret you must protect. Removing it means a student, a no-code builder and a senior engineer all start from the same place, a single URL.

What keeps the service usable for everyone

The model runs sixteen requests in parallel. To stop one client from occupying all of them, each IP address may hold eight connections at once; further connections receive a 429 status until one of the earlier ones finishes. Single answers are capped at 8,192 tokens and inputs at 120,000 characters.

These are technical guards and not a quota. Nothing counts your requests per day, and there is no point at which the API starts asking for payment.

Reasoning mode

By default the model answers directly, which is fastest. For multi-step problems add "reasoning": true to the request and raise max_tokens to 2,000 or more: the model will think through the task before it writes the final answer.

Endpoints at a glance

All endpoints live under https://api.apiaifree.com. The full reference with parameters and error codes is in the API docs.

Method and pathWhat it doesReturns
POST /v1/chat/completionsChat with roles, history, system instructions and optional streamingOpenAI-style JSON or SSE stream
GET /ask?q=…One question in the URL, for scripts and quick checksPlain text, or JSON with format=json
POST /v1/completionsContinue a raw text promptOpenAI-style JSON
GET /v1/modelsList the available modelJSON list
GET /healthCheck that the model is online{"status":"ok"}

Free AI API compared with paid APIs and free tiers

A free keyless endpoint is not a replacement for every paid service. This table shows where each option fits so that you can choose honestly.

Free AI API (this site)Free tier of a paid APIPaid API
Price per requestFreeFree until credits or quota run outBilled per token
Account and API keyNot neededRequiredRequired
Payment cardNever askedOften required to continueRequired
Daily quotaNoneYes, usually strictLimited by budget
Model sizeOne fast 9B modelSmall or rate-limited modelsLargest models available
Images, audio, embeddingsNo, text onlyDepends on providerUsually yes
Uptime guarantee and supportNoNoYes, by contract
Best forPrototypes, learning, bots, internal toolsEvaluating one vendorProduction with paying users

What people build with a free LLM API

Because calls cost nothing and need no setup, the API suits projects where a paid key would be an obstacle.

Chat widgets and bots

Support chats for small websites and assistants for Telegram, Discord or Slack. Streaming keeps replies responsive, and conversation history is simply the messages array.

Developer tools

Commit message writers, code explainers, regex helpers and command-line assistants. The /ask endpoint fits into a shell alias in one line.

Content helpers

Summaries of long pages, rewrites in a different tone, product descriptions, email drafts and translation between languages.

No-code automations

HTTP request steps in n8n, Make or Zapier, and custom functions in Google Sheets that classify, tag or clean rows of text.

Front-end demos

Static pages and browser extensions that talk to a model directly, since there is no secret that must stay on a server.

Courses and hackathons

Every participant can start at once. Nobody waits for an invitation, shares a team key or runs out of trial credits halfway through.

Limits, fair use and privacy

Technical limits

Eight parallel connections per IP address, 1 MB per request body, 120,000 input characters and 8,192 output tokens per call. The model works with text only. When every slot is busy the API answers with status 503, and a retry after two to five seconds normally succeeds.

Fair use

Please do not resell raw access or run bulk generation in a tight loop from many addresses. The capacity is shared, and each wasted slot is one that another developer could not use. Requests for sexual content involving minors and for instructions on mass-casualty weapons are refused by the model.

What is logged

For every call the gateway records the time, the endpoint, whether streaming was used, the status code, the response time, the size of the input and of the answer in characters, the two-letter country code, the calling website if there is one, the client name and a salted hash of the IP address.

What is not logged

Message text, system instructions and model answers are not stored anywhere. There are no cookies and no user profiles, because there are no users in the account sense. Even so, treat any public AI service with care and avoid sending passwords or personal records.

The service is provided as is, without an uptime guarantee. For anything critical, keep the base URL in a setting and have a fallback provider configured.