NVIDIA-Nemotron-Nano-9B-v2 is a large language model (LLM) trained from scratch by NVIDIA, and designed as a unified model for both reasoning and non-reasoning tasks. It responds to user queries and tasks by first generating a reasoning trace and then concluding with a final response. The model's reasoning capabilities can be controlled via a system prompt. If the user prefers the model to provide its final answer without intermediate reasoning traces, it can be configured to do so.
function_callinghttps://api.deepinfra.com/v1/openai/v1/chat/completions| Model | Context | Max out | Pricing |
|---|---|---|---|
| NVIDIA-Nemotron-Nano-9B-v2 | 131K | — | $0.04$0.16 |
| Nemotron-3-Nano-30B-A3B | 262K | — | $0.05$0.2 |
| NVIDIA-Nemotron-3-Super-120B-A12B | 262K | — | $0.09$0.4 |
| NVIDIA-Nemotron-Nano-12B-v2-VL | 131K | — | $0.2$0.6 |
/v1/models/deepinfra/nvidia/NVIDIA-Nemotron-Nano-9B-v2NVIDIA-Nemotron-Nano-9B-v2 is a large language model (LLM) trained from scratch by NVIDIA, and designed as a unified model for both reasoning and non-reasoning tasks. It responds to user queries and tasks by first generating a reasoning trace and then concluding with a final response. The model's reasoning capabilities can be controlled via a system prompt. If the user prefers the model to provide its final answer without intermediate reasoning traces, it can be configured to do so.