Nvidia Nemotron Nano 9B V2
nvidia/nemotron-nano-9b-v2A chat model with a 131K-token context window, at $0.063 per million input tokens and $0.2415 per million output tokens.
Details
- Maker
- nvidia
- Kind
- Chat
- Context window
- 131,072 tokens
- Max output
- 131,072 tokens
- Input
- $0.063 per million tokens
- Output
- $0.2415 per million tokens
- Capabilities
- Reasoning, tool use
- Takes
- Text
- Returns
- Text
- Zero data retention
- Yes, on every provider
- No training on requests
- Yes, on every provider
- Released
- 2025-08-18
- Newer model
- nvidia/nemotron-3.5-lightning-freeReleased later by the same maker, costs no more, and lists the same capabilities. Compare the two
Description
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.\
Call it
curl
curl https://phantom.codes/v1/chat/completions \
-H "Authorization: Bearer $PHANTOM_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "nvidia/nemotron-nano-9b-v2",
"messages": [
{"role": "user", "content": "Hello"}
]
}'Set PHANTOM_KEY to your key. Any OpenAI client works with the base URL https://phantom.codes/v1.