← Back to explorer
NVIDIA: Nemotron Nano 9B V2 (free)
Server-rendered model summary page for indexing/share previews. Use the interactive explorer for full filtering and comparison.
Match confidence: UnmatchedSource type: openrouter_only
Context window
128K
Arena overall rank
—
Input price
$0.000 / 1M
Output price
$0.000 / 1M
Identifiers & provenance
- Primary ID
- nvidia/nemotron-nano-9b-v2:free
- OpenRouter ID
- nvidia/nemotron-nano-9b-v2:free
- Canonical slug
- nvidia/nemotron-nano-9b-v2
Source semantics
- Arena rank is a human-preference leaderboard signal, not a universal truth metric.
- OpenRouter usage/popularity reflects adoption/traffic, not benchmark quality.
- Pricing fields may differ by provider and can include extra modes beyond prompt/completion.
Read more on Methodology & data sources.
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.
Raw fields snapshot
{
"id": "nvidia/nemotron-nano-9b-v2:free",
"name": "NVIDIA: Nemotron Nano 9B V2 (free)",
"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. \n\nThe 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.",
"created": 1757106807,
"canonical_slug": "nvidia/nemotron-nano-9b-v2",
"hugging_face_id": "nvidia/NVIDIA-Nemotron-Nano-9B-v2",
"source_type": "openrouter_only",
"context_length": 128000,
"max_completion_tokens": null,
"is_moderated": false,
"architecture": {
"modality": "text->text",
"input_modalities": [
"text"
],
"output_modalities": [
"text"
],
"tokenizer": "Other",
"instruct_type": null
},
"input_modalities": [
"text"
],
"output_modalities": [
"text"
],
"modality": "text->text",
"tokenizer": "Other",
"instruct_type": null,
"supported_parameters": [
"include_reasoning",
"max_tokens",
"reasoning",
"response_format",
"seed",
"structured_outputs",
"temperature",
"tool_choice",
"tools",
"top_p"
],
"default_parameters": {
"temperature": null,
"top_p": null,
"frequency_penalty": null
},
"per_request_limits": null,
"top_provider": {
"context_length": 128000,
"max_completion_tokens": null,
"is_moderated": false
},
"pricing": {
"prompt": "0",
"completion": "0"
},
"PPM": {
"prompt": 0,
"completion": 0
},
"openrouter_raw": {
"id": "nvidia/nemotron-nano-9b-v2:free",
"canonical_slug": "nvidia/nemotron-nano-9b-v2",
"hugging_face_id": "nvidia/NVIDIA-Nemotron-Nano-9B-v2",
"name": "NVIDIA: Nemotron Nano 9B V2 (free)",
"created": 1757106807,
"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. \n\nThe 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.",
"context_length": 128000,
"architecture": {
"modality": "text->text",
"input_modalities": [
"text"
],
"output_modalities": [
"text"
],
"tokenizer": "Other",
"instruct_type": null
},
"pricing": {
"prompt": "0",
"completion": "0"
},
"top_provider": {
"context_length": 128000,
"max_completion_tokens": null,
"is_moderated": false
},
"per_request_limits": null,
"supported_parameters": [
"include_reasoning",
"max_tokens",
"reasoning",
"response_format",
"seed",
"structured_outputs",
"temperature",
"tool_choice",
"tools",
"top_p"
],
"default_parameters": {
"temperature": null,
"top_p": null,
"frequency_penalty": null
},
"expiration_date": null
}
}