How to Get OpenAI API Key Free: Updated Guide (2026)

How to Get OpenAI API Key Free: Updated Guide (2026)

OpenAI's API powers GPT-4o, GPT-4.5, o1, DALL-E 3, Whisper, and TTS models. While OpenAI does not offer a permanently free API tier like some competitors, there are several ways to get free access for testing and development. This guide covers every working method as of February 2026.

OpenAI's Current Free Offering

OpenAI gives new accounts a small amount of free credits upon signup. Here is the current state:

Item	Details
Free credits on signup	$5 (for new accounts)
Credit expiration	3 months after creation
Models available	All API models including GPT-4o
Rate limits	Tier 1 (lower limits)
Credit card required	No (for the free credits)

How to Claim Free Credits

1. Go to https://platform.openai.com/signup
2. Create an account with email or Google/Microsoft SSO
3. Verify your phone number
4. Navigate to https://platform.openai.com/usage
5. Your free credits should appear automatically

Important: Phone number verification is required, and each phone number can only be used for one account. VoIP numbers are generally not accepted.

Test Your Free API Key

# Get your API key from https://platform.openai.com/api-keys
curl https://api.openai.com/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-xxxxx" \
  -d '{
    "model": "gpt-4o-mini",
    "messages": [
      {"role": "user", "content": "Say hello in 5 languages."}
    ]
  }'

Method 1: OpenAI Free Tier (Direct)

The most straightforward approach. Sign up, get credits, start building.

Python Quickstart

from openai import OpenAI

client = OpenAI(api_key="sk-xxxxx")

response = client.chat.completions.create(
    model="gpt-4o-mini",
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Explain how HTTP caching works."}
    ]
)

print(response.choices[0].message.content)

JavaScript Quickstart

import OpenAI from "openai";

const client = new OpenAI({ apiKey: "sk-xxxxx" });

const response = await client.chat.completions.create({
  model: "gpt-4o-mini",
  messages: [
    { role: "system", content: "You are a helpful assistant." },
    { role: "user", content: "Explain how HTTP caching works." }
  ]
});

console.log(response.choices[0].message.content);

Maximizing $5 in Credits

Choose your models wisely to stretch your free credits:

Model	Input (per 1M tokens)	Output (per 1M tokens)	Approximate messages with $5
gpt-4o-mini	$0.15	$0.60	~5,000-10,000
gpt-4o	$2.50	$10.00	~300-500
gpt-4.5-preview	$75.00	$150.00	~10-20
o1-mini	$1.10	$4.40	~700-1,000

Tip: Use gpt-4o-mini for development and testing. It is dramatically cheaper than GPT-4o and sufficient for most coding and prototyping tasks.

Method 2: Microsoft Azure Free Tier

Azure offers OpenAI models through its cloud platform with a free tier.

Setup

1. Go to https://azure.microsoft.com/free
2. Create a free Azure account ($200 credits for 30 days)
3. Search for "Azure OpenAI" in the portal
4. Click "Create" to set up an Azure OpenAI resource
5. Deploy a model (GPT-4o, GPT-4o-mini, etc.)
6. Get your endpoint and API key from the resource

Azure OpenAI Code Example

from openai import AzureOpenAI

client = AzureOpenAI(
    api_key="your_azure_key",
    api_version="2024-10-21",
    azure_endpoint="https://your-resource.openai.azure.com/"
)

response = client.chat.completions.create(
    model="gpt-4o",  # Your deployment name
    messages=[
        {"role": "user", "content": "Write a SQL query to find duplicate emails."}
    ]
)

print(response.choices[0].message.content)

What $200 Gets You

With Azure's $200 free credit:

• ~60,000 GPT-4o-mini messages
• ~600 GPT-4o messages
• Mix and match any OpenAI model

Method 3: OpenRouter Free Models

OpenRouter provides a unified API that includes several free models, including some that are comparable to GPT-4o in quality.

Setup

1. Go to https://openrouter.ai
2. Create an account
3. Get your API key from the dashboard
4. Use the OpenAI-compatible API endpoint

Free Models on OpenRouter

Model	Provider	Quality	Rate Limit
Gemini 2.0 Flash (free)	Google	Near GPT-4o	Moderate
Llama 3.3 70B (free)	Meta	Good	Moderate
Mistral Small (free)	Mistral	Good	Moderate
Qwen 2.5 72B (free)	Alibaba	Good for coding	Moderate

Code Example (OpenAI-Compatible)

from openai import OpenAI

# Use OpenRouter with the same OpenAI client
client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key="sk-or-xxxxx"
)

response = client.chat.completions.create(
    model="google/gemini-2.0-flash-exp:free",
    messages=[
        {"role": "user", "content": "Write a Python web scraper for Hacker News."}
    ]
)

print(response.choices[0].message.content)

The advantage of OpenRouter is that you can use the same OpenAI SDK and simply change the base_url and model name. Your existing code continues to work.

Method 4: GitHub Models Marketplace

GitHub provides free access to various AI models, including OpenAI models, through its Models marketplace.

Setup

1. Go to https://github.com/marketplace/models
2. Browse available models (GPT-4o, GPT-4o-mini, etc.)
3. Click on a model and select "Get started"
4. Use your GitHub personal access token for authentication
5. Free tier includes limited requests per day

Code Example

from openai import OpenAI

client = OpenAI(
    base_url="https://models.inference.ai.azure.com",
    api_key="github_pat_xxxxx"  # Your GitHub PAT
)

response = client.chat.completions.create(
    model="gpt-4o-mini",
    messages=[
        {"role": "user", "content": "Explain the builder pattern in Java."}
    ]
)

print(response.choices[0].message.content)

GitHub Models Free Limits

Model	Free Requests/Day	Free Tokens/Request
GPT-4o	10	8,000
GPT-4o-mini	20	16,000
o1-mini	5	4,000

Comparison of All Methods

Method	Models	Free Amount	Duration	Card Required
OpenAI Direct	All OpenAI	$5 credits	3 months	No
Azure Free Tier	All OpenAI (via Azure)	$200 credits	30 days	Yes (not charged)
OpenRouter Free	Select open models	Unlimited (rate limited)	Ongoing	No
GitHub Models	GPT-4o, GPT-4o-mini, more	Limited daily requests	Ongoing	No

Tips for Reducing API Costs

Once your free credits run out, these strategies help minimize costs:

1. Use the Cheapest Model That Works

# For simple tasks, use gpt-4o-mini
response = client.chat.completions.create(
    model="gpt-4o-mini",  # 20x cheaper than gpt-4o
    messages=[{"role": "user", "content": prompt}]
)

2. Cache Responses

import hashlib
import json
import os

CACHE_DIR = ".cache/openai"
os.makedirs(CACHE_DIR, exist_ok=True)

def cached_completion(messages, model="gpt-4o-mini"):
    # Create a cache key from the request
    key = hashlib.md5(json.dumps(messages).encode()).hexdigest()
    cache_file = f"{CACHE_DIR}/{key}.json"

    # Return cached response if available
    if os.path.exists(cache_file):
        with open(cache_file) as f:
            return json.load(f)

    # Make the API call
    response = client.chat.completions.create(
        model=model,
        messages=messages
    )

    result = response.choices[0].message.content

    # Cache the response
    with open(cache_file, "w") as f:
        json.dump(result, f)

    return result

3. Set Token Limits

response = client.chat.completions.create(
    model="gpt-4o-mini",
    messages=[{"role": "user", "content": prompt}],
    max_tokens=500  # Limit output length
)

4. Monitor Usage Programmatically

# Check your usage after each call
usage = response.usage
print(f"Input tokens: {usage.prompt_tokens}")
print(f"Output tokens: {usage.completion_tokens}")
print(f"Total tokens: {usage.total_tokens}")

# Estimate cost
input_cost = usage.prompt_tokens * 0.00000015  # gpt-4o-mini input
output_cost = usage.completion_tokens * 0.0000006  # gpt-4o-mini output
print(f"Estimated cost: ${input_cost + output_cost:.6f}")

Conclusion

While OpenAI does not offer unlimited free API access, combining the $5 signup credits with Azure's $200 free tier, OpenRouter's free models, and GitHub Models gives you substantial runway for development and prototyping. For production use, gpt-4o-mini offers the best value at a fraction of the cost of larger models.

For projects that need AI-generated visual content alongside text generation -- such as creating product videos from GPT-written scripts, generating marketing images, or building talking avatar experiences -- Hypereal AI provides affordable APIs for video, image, and avatar generation with pay-as-you-go pricing and free starter credits.