NVIDIA Build Free Tier

NVIDIA Build is the operational portal for the NVIDIA NIM (Inference Microservices) project — prepackaged microservices that run LLM models on NVIDIA GPUs using optimized TensorRT-LLM. Until July 2024, NIM was an enterprise product distributed as an on-premises container billed by usage. NVIDIA then changed strategy and opened a model catalog hosted directly on its own DGX Cloud, accessible to any developer who joins the free NVIDIA Developer Program. [NVIDIA Build Free API 100+ Models 2026]

The commercial logic is twofold: NVIDIA hopes developers will prototype on its endpoints and later buy GPUs for production, while also positioning itself as a neutral hub for open-weight models — a counterweight to closed ecosystems from OpenAI and Anthropic. [NVIDIA Build Free API 100+ Models 2026]

Every model in the catalog exposes the /v1/chat/completions endpoint in the exact format defined by the OpenAI API, making any existing OpenAI code work by changing just two variables. [NVIDIA Build Free API 100+ Models 2026]

Initial Credits and Refills

Enrolling in the developer program grants 1,000 initial credits. Additional credits (up to 4,000 more, for a total of 5,000) can be requested through the NVIDIA developer forum or a request form. Each request consumes credits proportionally to the model's computational cost — lightweight models such as Llama 3.1 8B cost a fraction of a credit, while large models such as DeepSeek-R1 671B consume significantly more. [NVIDIA Build Free API 100+ Models 2026]

Rate Limits per User and per Model

Independent of credits, there is a cap of 40 requests per minute per model at the account level. Exceeding this returns an HTTP 429 error with a Retry-After header. This limit is rarely hit during solo prototyping, but becomes restrictive for batch evaluation scripts. [NVIDIA Build Free API 100+ Models 2026]

Context and Completion Sizes

Context and output sizes match the standard version published by the originating lab — they are not reduced. For example: Llama 3.1 70B keeps its 128k token context, Kimi K2 keeps 200k, and DeepSeek V4 keeps 64k. Average latency for European users sits between 600–1,500 ms on the first token, with throughput ranging from 30–90 tokens/second depending on model and cloud load. [NVIDIA Build Free API 100+ Models 2026]

Note: Under heavy load (US peak hours, new model launches), throughput can slow noticeably. For production applications NVIDIA recommends on-premise deployment with NIM containers (free for developer program members on up to 16 GPUs / 2 nodes). [NVIDIA Build Free API 100+ Models 2026]

1. 1.Register at build.nvidia.com using a personal or work email — no identity verification or credit card needed.
2. 2.Generate a personal API key at build.nvidia.com/settings/api-keys. The key appears only once (prefixed with nvapi-) and must be saved immediately.
3. 3.Configure the OpenAI Python or JavaScript client to point to NVIDIA's endpoint.

[NVIDIA Build Free API 100+ Models 2026]

Python Code Sample

from openai import OpenAI

client = OpenAI(
    base_url="https://integrate.api.nvidia.com/v1",
    api_key="nvapi-XXXXXXXXXXXXXXXXXXXXXXXXXXXX"
)

response = client.chat.completions.create(
    model="deepseek-ai/deepseek-v3.1",
    messages=[
        {"role": "user", "content": "Explain in two lines what a MoE is."}
    ],
    temperature=0.6,
    max_tokens=512,
    stream=False,
)

print(response.choices[0].message.content)

The model identifier always follows the convention provider/model-name visible on each model's catalog page. Switching models requires changing only that one string — the rest of the code is unchanged. [NVIDIA Build Free API 100+ Models 2026]

The catalog at build.nvidia.com/models contains over 100 models organized by family, size, and specialization, updated through April 2026. [NVIDIA Build Free API 100+ Models 2026]

Beyond LLMs, the catalog also includes specialized models for vision (LLaVA, Cosmos, NV-CLIP), retrieval (NV-EmbedQA, NV-Rerank), speech (Riva, Parakeet), biology (ESMFold), and physics simulation. All hosted models are open-weight under permissive licenses (Apache 2.0, MIT, Llama Community License). [NVIDIA Build Free API 100+ Models 2026]

Because the endpoint is OpenAI-compatible, integration with AI-first IDEs is straightforward. Supported tools include Cursor, Zed, OpenCode, and Hermes. The standard procedure is: open the IDE's settings → select the custom AI provider section → enter https://integrate.api.nvidia.com/v1 as the base_url → use your nvapi- key as the api_key. [NVIDIA Build Free API 100+ Models 2026]

Example — Cursor: Settings → Models → Custom → OpenAI Compatible. Set name to NVIDIA NIM, enter the base URL and API key, then manually add model identifiers (e.g., meta/llama-3.1-70b-instruct). They immediately appear in the model selector alongside Claude and GPT. [NVIDIA Build Free API 100+ Models 2026]

For more on IDE integrations, see NVIDIA NIM Framework Integrations and NVIDIA Build Inference Endpoints.

The best choice depends on the use case: Groq wins on latency; NVIDIA Build wins on model variety; Hugging Face wins on long-tail catalog depth; Together AI wins on stability after a top-up. [NVIDIA Build Free API 100+ Models 2026]

For a deeper analysis of free vs. paid access, see Free vs. Paid AI Model Access: NVIDIA NIM vs. $20/month Subscriptions and NVIDIA NIM Free Models Guide.

The free tier's constraints (40 req/min, 5,000 total credits) make it unsuitable for production traffic, but well suited to four concrete scenarios: [NVIDIA Build Free API 100+ Models 2026]

• Benchmarking models on specific tasks — test ten different models in parallel on a single prompt set to compare quality, latency, and projected cost before committing to one.
• Prototyping AI agents — models with robust function calling (Llama 3.1, Nemotron, GLM-4 4.7) enable building tool-using agents without paying per iteration. Relevant to Agentic Skills.
• Long document analysis — Kimi K2's 200k-token context handles entire books without chunking; 5,000 credits allow dozens of analyses before depletion.
• Theses and university projects — the fastest way to access models that would otherwise require thousands of euros in local GPU hardware.

[NVIDIA Build Free API 100+ Models 2026]

Most modern models in the catalog support function calling in the standard OpenAI format. Confirmed models include: Llama 3.1 70B/405B, Nemotron-3-Super, GLM 4.7 and GLM 5.1, Kimi K2, Mixtral 8x22B, and Qwen 2.5 72B. Models under 7B and some vision-only models either lack this capability or implement it partially. Each model card on build.nvidia.com lists supported features explicitly. [NVIDIA Build Free API 100+ Models 2026]

Do I need a credit card? No. Enrollment requires only a valid email. A card is requested only if you choose to upgrade to a paid plan in the future. [NVIDIA Build Free API 100+ Models 2026]

What happens when free credits run out? The API key stops working on paid models (HTTP 402 error). Some smaller models remain accessible via base daily quotas. NVIDIA is reported to be generous with additional credit requests submitted through the official developer account forum. [NVIDIA Build Free API 100+ Models 2026]

Are prompts used for training? No. Per the official NIM API Catalog terms, NVIDIA does not use prompts and responses to train models. Requests are processed statelessly with no content logging beyond minimal operational data. [NVIDIA Build Free API 100+ Models 2026]

Does it work from Europe? Yes. The endpoint is reachable globally. DGX Cloud primarily serves models from US data centers, adding ~80–150 ms network latency for European users — negligible for chat and async generation. [NVIDIA Build Free API 100+ Models 2026]

NVIDIA Build's free tier provides a single point of access to over 100 open-weight models via an OpenAI-compatible API, with no credit card required and a five-minute onboarding process. The limits are honest and clearly defined. It is the richest and least restrictive free inference tier on the market as of 2026 for prototyping, benchmarking, and personal projects — but not suitable for production. [NVIDIA Build Free API 100+ Models 2026]

See also: NVIDIA Build, NVIDIA NIM (Inference Microservices), NVIDIA NIM Free API Guide, Model Tiering Strategy, 80+ Free AI Models at NVIDIA Build.