NVIDIA Nemotron 3 Nano 30B API Benchmarks: Latency & Cost
Blog post from Deepinfra
NVIDIA Nemotron 3 Nano 30B A3B is a large language model developed by NVIDIA, designed for both reasoning and non-reasoning tasks, featuring a hybrid Mamba-Transformer Mixture-of-Experts architecture. With approximately 31.6 billion total parameters, it efficiently uses only 3.2–3.6 billion active parameters per forward pass, offering the reasoning capabilities of a larger model but with the speed and cost efficiency of a lightweight architecture. Trained on 25 trillion tokens across multiple languages and programming languages, the model can toggle between reasoning modes, optimizing for either direct answers or detailed reasoning traces. DeepInfra, the exclusive API provider for this model, offers competitive pricing with a blended cost of $0.09 per million tokens, and supports both JSON Mode and Function Calling, making it suitable for structured output workflows and agentic AI applications. The deployment boasts a 262k token context window and achieves a 93.7 tokens per second output speed, with a sub-half-second TTFT, making it ideal for real-time applications that require immediate responsiveness.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| AI Agents | 4 | 4,430 | 1,100 | 236 | -3% |
| LLM | 3 | 5,932 | 1,046 | 223 | -2% |
| Real-time | 2 | 6,296 | 1,346 | 246 | -2% |
| AI Guardrails | 1 | 362 | 123 | 45 | +1% |
| RAG | 1 | 941 | 216 | 85 | -48% |
| Vector Search | 1 | 1,739 | 413 | 146 | -27% |
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