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Free Kimi, Free DeepSeek: Frontier Models With No GPU and No Card

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.

Kunal

— 1 min read
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https://build.nvidia.com/
Free AI Agents

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

  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:
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:

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.

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