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# Free Kimi, Free DeepSeek: Frontier Models With No GPU and No Card
- URL: https://techweblearn.com/free-kimi-free-deepseek-frontier-models-with-no-gpu-and-no-card/
- Published: 2026-09-13T14:22:02.000Z
- Updated: 2026-09-13T14:22:02.000Z
- Description: No GPU, no credit card, no per-token bill. Frontier AI models Kimi, DeepSeek, and more are free to call through NVIDIA NIM's OpenAI-compatible API, so the client you already own works unmodified.
- Author: Kunal
- Tags: AI, Ai Agent, News

Frontier AI models Kimi, DeepSeek, and more are free to call via NVIDIA NIM's OpenAI-compatible API. No GPU, no credit card. Start at build.nvidia.com.  
You can call **Kimi** and **DeepSeek** right now, from your own code, without a GPU, without a credit card, and without a per-token bill.

Not a trial. Not scaled-down models. Full-strength open-weight models behind one standard OpenAI-compatible endpoint.

## Where to get it

Everything starts in one place: [**build.nvidia.com**](https://build.nvidia.com/?ref=techweblearn.com)

1. Create a free NVIDIA Developer Program account.
2. Generate your API key. it starts with `nvapi-` and is shown only once, so copy it immediately.
3. Drop it into your environment:

```bash
export NVIDIA_API_KEY="nvapi-..."
```

That's the whole signup. Minutes, not days.

## One line of code

The endpoint speaks the OpenAI API, so the client you already have just works. Point it at NVIDIA, pick a model, make the call:

```python
import os
from openai import OpenAI

client = OpenAI(
    base_url="https://integrate.api.nvidia.com/v1",
    api_key=os.environ["NVIDIA_API_KEY"],
)

resp = client.chat.completions.create(
    model=os.environ["NVIDIA_MODEL_ID"],  # pick from the live catalog
    messages=[{"role": "user", "content": "Explain mixture-of-experts in a few sentences."}],
)

print(resp.choices[0].message.content)
```

Two changes the base URL and the model string and every OpenAI-shaped tool you already own works unmodified, from your own wrapper to your agent framework.

> If your abstraction layer already takes a `base_url`, this is a config change, not a migration.

Browse the same site for the catalog and drop the exact model string into `NVIDIA_MODEL_ID`.  
  
*Building on NIM? Tell me in the comments which models you landed on. Next up: what MCP actually is, and why every AI coding assistant suddenly wants one.*