NVIDIA Build Free API 100+ Models 2026

Published 30 April 2026 by Pasquale Pillitteri. A 14-minute technical guide verifying the reality of NVIDIA Build's free inference tier: 100+ AI models hosted on DGX Cloud, accessible via an OpenAI-compatible API (endpoint https://integrate.api.nvidia.com/v1), with no credit card required. [NVIDIA Build Free API 100+ Models 2026]

1. 1.What NVIDIA Build Is — Background on NVIDIA NIM (Inference Microservices); shift from enterprise-only containers (pre-July 2024) to a public DGX Cloud catalog. [NVIDIA Build Free API 100+ Models 2026]
2. 2.Model Catalog — 100+ open-weight models as of April 2026, organized by family. [NVIDIA Build Free API 100+ Models 2026]
3. 3.Getting an API Key — Step-by-step: NVIDIA Developer Program registration → key generation → OpenAI client configuration. [NVIDIA Build Free API 100+ Models 2026]
4. 4.Free Tier Limits — Credits, rate limits, context sizes. [NVIDIA Build Free API 100+ Models 2026]
5. 5.IDE Integration — Cursor, Zed, OpenCode, and other AI-first IDEs. [NVIDIA Build Free API 100+ Models 2026]
6. 6.Comparison with Alternatives — Groq, Together AI, OpenRouter, Hugging Face Inference. [NVIDIA Build Free API 100+ Models 2026]
7. 7.Real Use Cases — Solo developer scenarios. [NVIDIA Build Free API 100+ Models 2026]
8. 8.FAQ — 7 answered questions on credit cards, data usage, production suitability, European access, function calling. [NVIDIA Build Free API 100+ Models 2026]

• API key prefix: nvapi-; generated at build.nvidia.com/settings/api-keys; shown only once. [NVIDIA Build Free API 100+ Models 2026]
• Free tier: 1,000 initial credits; up to 5,000 total (via forum/request form); no credit card. [NVIDIA Build Free API 100+ Models 2026]
• Rate limit: 40 requests/minute per model (HTTP 429 on excess). [NVIDIA Build Free API 100+ Models 2026]
• Context sizes: Unchanged from originating labs — e.g., Llama 3.1 70B at 128k tokens, Kimi K2 at 200k, DeepSeek V4 at 64k. [NVIDIA Build Free API 100+ Models 2026]
• Latency (Europe): 600–1,500 ms to first token; 30–90 tokens/second output throughput. [NVIDIA Build Free API 100+ Models 2026]
• Data policy: NVIDIA states prompts/responses are not used for training; stateless processing. [NVIDIA Build Free API 100+ Models 2026]

[NVIDIA Build Free API 100+ Models 2026]

*(Values are illustrative of free-tier generosity; units differ by provider.)* [NVIDIA Build Free API 100+ Models 2026]

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)

Model identifiers follow the provider/model-name convention visible on each model's catalog page. [NVIDIA Build Free API 100+ Models 2026]

*"Confirmed and useful. NVIDIA Build really does offer free access to more than 100 AI models with an OpenAI-compatible endpoint. The free tier is perfect for prototyping, benchmarks, and personal projects, less suited to production."* [NVIDIA Build Free API 100+ Models 2026]

• NVIDIA Build — entity page for the portal
• NVIDIA NIM — the underlying microservices technology
• OpenAI-Compatible API — compatibility concept
• NVIDIA Build Inference Endpoints — endpoint detail
• GLM-4 — one of the catalogued model families
• Free vs. Paid AI Model Access — comparison page