Atlas / Models / Nvidia / NVIDIA: Nemotron Nano 9B V2 (free)

NVIDIA: Nemotron Nano 9B V2 (free)✓ Catalog verified

nvidia/nemotron-nano-9b-v2:free

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.

Input price
$0.00 /1M
Output price
$0.00 /1M
Context
128K
Modalities
text
Released
Sep 5, 2025
Tool calling
✓ Yes
Atlas signal
87/100
01

Overview

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.

Access: available through the official Nvidia API. Context window: 128K.

Pricing and metadata from the ModelsAtlas catalog.Last refreshed Aug 5, 2026
02

Specifications

API identifiernvidia/nemotron-nano-9b-v2:free
ProviderNvidia
Model typeText LLM
Context window128K catalog
Input modalitiestext
Output modalitiestext
ReleasedSep 5, 2025
ModeratedNo
Architecture modalitytext->text
Supported parameters
include_reasoningmax_tokensreasoningresponse_formatseedstructured_outputstemperaturetool_choicetoolstop_p
Source: provider documentation + catalog feedMethodology →

API defaults

Default parameters
{
  "top_p": null,
  "temperature": null,
  "frequency_penalty": null
}
03

Pricing

Live pricing components for nvidia/nemotron-nano-9b-v2:free as published in the catalog.

$0.00
Input /1M
$0.00
Output /1M
Per request
Per image
Pricing componentRaw unit priceNormalizedUnit
Prompt tokens$0$0.00 / 1MPer input token
Completion tokens$0$0.00 / 1MPer output token
Request feeN/AN/APer request
Image feeN/AN/APer image unit
Web search feeN/AN/APer search request
Source: catalog pricing feedCompare all pricing →Cheapest models →
04

Cost calculator

Estimate monthly spend from your own token volumes.

Scale / Volume

Estimated Total Cost

$0Calculated from current list pricing in the ModelsAtlas catalog.
05

Capabilities

CapabilityStatusWhat it means
Visual UnderstandingNot advertisedImage and document analysis support
Audio ProcessingNot advertisedSpeech and voice aligned flows
Tool Calling✓ SupportedSupports tools / function calling
Self-HostingNot advertisedDeploy outside managed APIs
Derived from catalog capability tags and supported parameters
06

Capability signals

Directional signals derived from model metadata and capability tags — not official benchmark submissions.

NVIDIA: Nemotron Nano 9B V2 (free)
MMLU Signal (Reasoning)
97signal
Coding Signal (HumanEval proxy)
88signal
Math Signal (GSM8K proxy)
83signal
Science Signal (GPQA proxy)
79signal
Estimated from metadata — not an official benchmark runAll benchmarks →Methodology →
07

Quick start

Call NVIDIA: Nemotron Nano 9B V2 (free) through an OpenAI-compatible client.

from openai import OpenAI

client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="nvidia/nemotron-nano-9b-v2:free",
    messages=[{"role": "user", "content": "Explain quantum physics."}]
)

print(response.choices[0].message.content)
08

Alternatives

Closest models by context window from a different provider.

09

Sources & attribution

Pricing and metadata are maintained in the ModelsAtlas catalog.

Capability bars use metadata tags — directional estimates onlyHow we source and verify data →
10

Frequently asked questions

How much does NVIDIA: Nemotron Nano 9B V2 (free) cost?

$0.00 per 1M input tokens and $0.00 per 1M output tokens on the official Nvidia API.

What is the context window of NVIDIA: Nemotron Nano 9B V2 (free)?

NVIDIA: Nemotron Nano 9B V2 (free) supports up to 128K tokens of context.

Does NVIDIA: Nemotron Nano 9B V2 (free) support tool / function calling?

Yes, NVIDIA: Nemotron Nano 9B V2 (free) supports tool / function calling — you can register tools and the model will emit structured tool calls.

How do I access NVIDIA: Nemotron Nano 9B V2 (free)?

Use the official Nvidia API with the model id `nvidia/nemotron-nano-9b-v2:free`. See the Quick start section above for code examples.