Get free NVIDIA model API keys! Register in 3 minutes to access Kimi, DeepSeek, and Llama for all your needs.

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This 3-minute guide will help you get a free NVIDIA API Key, unlocking 100+ models like Kimi, DeepSeek, MiniMax, and Llama with a single account. The key is valid for up to 12 months (or longer). Includes a 4-step workflow, a breakdown of free credits (1,000 credits + 40 RPM), and 5 common FAQs. (Previous coverage: Claude Code: Learn by doing with this free site offering 11 lessons, no installation required.) (Background: Jensen Huang's latest interview: Why is NVIDIA so powerful and unstoppable?) NVIDIA runs a platform at build.nvidia.com called NIM (NVIDIA Inference Microservices), which is built on top of DGX Cloud, with an API format compatible with OpenAI. You can use it for free upon registration, with over 100 models to choose from. All you need is an email and a mobile phone capable of receiving SMS. Taiwan numbers (+886) can pass verification; no VPN or credit card is required. - What are the free credits? How are 1,000 credits calculated? - 4 steps to get an API Key (with key screenshots) - Appendix: Recommended models to try first from the 100+ available - 5 common FAQs After registering an account, NVIDIA will give you 1,000 inference credits, which is the basic starting quota. If it's not enough, you can go to the API Keys page and click "Request More" to apply for an additional 4,000 credits, for a total limit of 5,000 credits. Pay close attention to the rate limit: the free tier is 40 RPM (40 requests per minute), which allows for an API call roughly every 1.5 seconds. This is sufficient for personal use and small side projects, but if you are performing batch processing too quickly, you will encounter 429 errors. The key validity can be set up to 12 months; choose this when creating the key and remember to renew it before it expires. ⚠️ The platform is very popular right now, and many people are using it simultaneously. I encountered several timeouts and 503 errors myself; this is not an issue with your local machine, but rather the server queuing. In such cases, just retry a few times or avoid peak hours (afternoon to evening in Taiwan time is off-peak). - Step 1: Create an account Open build.nvidia.com, click "Login" in the top right corner → "Create Account". After entering your email and password, go to your inbox and click the verification link to activate your account. Gmail or Outlook are fine; domestic email providers are not recommended (verification emails may end up in the spam folder). - Step 2: Mobile verification to unlock API access After logging in, a banner will appear at the top of the page: "Verify your account to unlock API access". Click it and enter your mobile number to receive an SMS verification code. For Taiwan numbers, select +886 and enter the 9 digits. If this step is not completed, the key you obtain later will not be able to call the API; this is an easily skipped step. If this step shows an error, it is highly likely due to the high number of people registering on the platform simultaneously; try again during off-peak hours. - Step 3: Create an API Key Click your avatar in the top right corner → API Keys → "+ Create API Key" in the top right. Enter a Name (anything, e.g., my-test-key), select 12 months for Expiration, and click Create Key. ⚠️ This is the easiest step to mess up: the key is only displayed once and cannot be viewed in full after closing the window. Once you see the string starting with nvapi-, copy and paste it immediately into your password manager or .env file. I had to recreate the key myself because I didn't copy it in time. - Step 4: Select a model and get the Model ID Return to build.nvidia.com/models, pick a model you want to use, click into it, and press "View Code" in the top right to display the corresponding Model ID. Click "Generate API", and you can copy the extra line of key directly into your code. - The API format is almost identical to OpenAI; just change the endpoint to NVIDIA's, replace the key with the one starting with nvapi-, and nothing else needs to be changed. If you are lazy, you can also call the list model from the parent API key to let your interface read it automatically. - Kimi-K2.5 (Moonshot AI): Good performance in long-context reasoning,

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