NVIDIA has quietly opened one of the most generous free offers in AI right now. Through its developer site at build.nvidia.com, you can call more than 130 AI models over a single API, for free, with no credit card. The obvious question for any business owner: if the models are free, why is anyone still paying? The short answer is that "free model access" and "free to run a business on" are very different things. Here is the full picture.
What NVIDIA actually launched
The catalog is called NIM, short for NVIDIA Inference Microservices. In plain terms, these are AI models that run on NVIDIA's own servers, ready to call over the internet. As of June 2026 the catalog lists 139 models. You get one API key, point your code at NVIDIA's endpoint, and choose whichever model you want.
The clever part is compatibility. The API speaks the same language as OpenAI's, so it slots straight into tools your developers already use, like Cursor, OpenCode, or any app already built for the OpenAI API. In most cases you change two things: the base URL and the key.
The build.nvidia.com catalog lists 139 models, each with a free endpoint. Source: NVIDIA
Which AI models can you use for free?
This is the interesting part. The catalog is not just NVIDIA's own models with filler. It includes current frontier models from across the industry:
- DeepSeek: deepseek-v4-pro and the lighter, faster deepseek-v4-flash
- Moonshot AI: kimi-k2.6
- Z-ai: glm-5.1
- MiniMax: minimax-m2.7
- Qwen: image generation and editing models
- Mistral: mistral-medium-3.5 and mistral-small-4
- Google: gemma-4
- NVIDIA: nemotron-3-ultra-550b, plus smaller Nemotron models for reasoning and safety
So you can put deepseek-v4-pro, kimi-k2.6, and glm-5.1 side by side on your own task and see which one actually does the job, before paying anyone a cent. That kind of comparison used to cost real money.
How to get your free API key
Setup takes a few minutes:
- Go to build.nvidia.com and create a free account through the NVIDIA Developer Program. No credit card.
- Open any model in the catalog and click "Get API Key". You get a key starting with
nvapi-. - In your code or tool, set the base URL to NVIDIA's endpoint and paste in the key.
- Choose a model and start sending requests.
That is the whole process. If you already have something wired up for OpenAI, you are mostly swapping the URL and the key.
Are NVIDIA's free AI models actually free?
Yes, for prototyping. NVIDIA's own page describes it as free access "for unlimited prototyping," and that word is the catch.
The free tier caps you at 40 requests per minute, and NVIDIA offers no official way to lift that on the free plan. There is no service-level agreement, no uptime promise, and NVIDIA can change or pull a model whenever it likes. The old credit system was dropped in early 2025, so today it runs purely on these rate limits. It is a shared sandbox, not a guaranteed pipe for live traffic.
What you can actually build with it
Used for what it is, the free tier is genuinely useful. Real use cases for a Malaysian business:
- Model bake-offs. Compare deepseek-v4-pro, kimi-k2.6, and glm-5.1 on your own documents before committing to one.
- Internal tools. A draft summariser for your ops team, a meeting-notes cleaner, an internal Q&A bot over your own staff handbook. Low traffic, no customer exposure, comfortably within 40 requests a minute.
- Prototypes and pitches. Build a working proof of concept for a client demo without provisioning paid infrastructure first.
- Coding help. Point Cursor or OpenCode at a free model and let your developers trial agentic coding at zero cost.
- Learning. Give your team hands-on time with frontier models so they know what is realistic before you budget for it.
Where it does not fit is anything customer-facing. For that you need predictable uptime, and under Malaysia's Personal Data Protection Act (PDPA) you need a clear answer to where customer data goes. A shared free endpoint gives you neither. Production still means paid infrastructure, whether that is NVIDIA's paid tier, a cloud provider, or your own setup.
Our take
We use tools like this every week at Gotchaa Lab, and free model access lowers the cost of finding out what works. That is real value. But "free model" and "free product" are not the same thing, and "I can call a model" is a long way from "I have a system my business can rely on."
The hard parts have not changed. Choosing the right model for the job, wiring it into your existing systems, keeping customer data compliant, and being accountable when something breaks at 2am. That is the work behind any custom AI solution worth shipping. AI got cheaper. Judgment did not.
If you are weighing how free and paid AI fit together, our guide on avoiding AI vendor lock-in is a good next read. Or talk to us for an honest take on your situation, no sales pitch.
