# 100+ AI Models.
# One Free API.
## Use powerful AI models without paying for every request.
Access more than 100 leading artificial intelligence models through NVIDIA’s free API.
Build applications, test prompts, compare models, generate embeddings, analyze images, and create AI workflows using an OpenAI-compatible API.
**No credit card. No subscription. No complicated setup.**
Just create your free NVIDIA Developer account, generate your API key, and start building.
---
## FREE AI API
### Powerful models. Zero API cost.
NVIDIA provides free access to a large catalog of artificial intelligence models through its NIM platform.
You can use models from Meta, DeepSeek, Qwen, Mistral, NVIDIA, and other leading providers through a single API.
The API is compatible with the OpenAI SDK, which means you can migrate an existing project by changing only the API address, model name, and key.
```python
from openai import OpenAI
client = OpenAI(
api_key="nvapi-YOUR_KEY"
)
response = client.chat.completions.create(
model="meta/llama-3.1-70b-instruct",
messages=[
{
"role": "user",
"content": "Create an AI business idea."
}
]
)
print(response.choices[0].message.content)
```
---
# What You Can Build
With NVIDIA’s free API, you can create:
* AI assistants
* Chatbots
* Content generators
* Automation systems
* AI agents
* Search tools
* RAG applications
* Embedding systems
* Image-analysis applications
* Model comparison platforms
* Internal business tools
* Educational applications
* Prototypes and MVPs
You can experiment, learn, validate ideas, and build real applications without starting with a large API bill.
---
# More Than 100 Models Available
Choose the right model for each task.
The catalog includes models for:
* General conversation
* Advanced reasoning
* Programming
* Long-context analysis
* Multilingual content
* Image understanding
* Tool use
* Embeddings
* Enterprise applications
Some available options include:
| Model | Provider | Best use |
| -------------- | -------- | ----------------------------- |
| Llama 3.1 70B | Meta | General AI applications |
| Llama 3.1 405B | Meta | High-quality responses |
| DeepSeek R1 | DeepSeek | Reasoning and problem solving |
| Qwen | Alibaba | Multilingual tasks and coding |
| Nemotron | NVIDIA | Agents and tool use |
| Mixtral | Mistral | Fast and efficient generation |
| Llama Vision | Meta | Image and text analysis |
---
# OpenAI-Compatible
## Change a few lines. Keep your existing application.
The NVIDIA API works with the standard OpenAI SDK.
In many projects, you only need to change:
```python
base_url
api_key
model
```
This makes it easy to:
* Test alternative models
* Reduce development costs
* Compare model quality
* Avoid depending on a single provider
* Build multi-model systems
* Create fallback strategies
* Select the best model for every task
---
# Compare Models Side by Side
The NVIDIA API Free Console includes an Arena mode that allows you to send the same prompt to multiple models at the same time.
You can compare:
* Response quality
* Reasoning ability
* Writing style
* First-token latency
* Total generation time
* Model consistency
* Cost-performance potential
Instead of guessing which model is better, you can test them using your own prompts and real business scenarios.
---
# Free Means You Can Experiment More
When every test costs money, people test less.
When experimentation is free, you can:
* Try more ideas
* Compare more models
* Improve your prompts
* Build faster
* Learn through practice
* Validate products before investing
* Train your team without creating a large bill
The greatest advantage is not only saving money.
The greatest advantage is having the freedom to experiment.
---
# Start in Minutes
## 1. Create your free NVIDIA account
Visit NVIDIA’s developer platform and create an account.
## 2. Generate your API key
Create an API key in this format:
```text
nvapi-xxxxxxxx
```
Save it securely because the key may only be displayed once.
## 3. Configure your project
```bash
NVIDIA_API_KEY=nvapi-YOUR_KEY
```
## 4. Install the OpenAI SDK
```bash
pip install openai
```
## 5. Start building
Use the same structure already adopted by thousands of OpenAI-compatible applications.
---
# Build First. Pay Later—Only When You Need To.
You do not need expensive infrastructure to start learning artificial intelligence.
You do not need a large budget to test an idea.
You do not need to wait for the perfect moment.
The models are available.
The API is accessible.
The tools already exist.
## The only thing missing is what you are going to build with them.
---
# Your Next AI Project Can Start for Free.
### More than 100 models.
### One compatible API.
### Zero initial API cost.
**Generate your free key and start building today.**