NVIDIA: Nemotron Nano 9B V2

Public pricingIntelligence 75/100Medium memory심층 추론도구 활용

NVIDIA: Nemotron Nano 9B V2은 추론과 문제 해결에 맞춘 텍스트 모델입니다. 깊은 추론과 계획、낮은 지연과 효율적 추론, 131K tokens의 컨텍스트, 저비용 특성을 결합해 reasoning, analysis, and hard problem solving에서 안정적인 작업을 돕습니다. 특히 지연, 비용, 처리량가 중요한 경우에 잘 맞으며, 안정적인 출력, 유연한 배포, 확장성을 중시하는 팀에 실용적입니다. 안정적인 응답, 넓은 문맥 처리, 그리고 시제품부터 운영까지 이어지는 유연성이 필요할 때 유용합니다. 안정적인 응답, 넓은 문맥 처리, 그리고 시제품부터 운영까지 이어지는 유연성이 필요할 때 유용합니다.

Input

$0.04/1M

Output

$0.16/1M

Cached

$0.00/1M

Batch

$0.02/1M

Calculate your Nemotron Nano 9B V2 bill.

Set your workload — see cost at your exact volume.

What would Nemotron Nano 9B V2 cost you?

Adjust the workload to see your monthly bill.

Conversations per month50,000

1,00010,00050,000250,0001M10M

Input length

Output length

Repeated questions?

Replies can wait a few hours (batch discount)

Technical specifications

Nemotron Nano 9B V2 at a glance.

Memory

131,072

tokens

Max reply

32,768

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

—

Released

Aug 2025

Training cutoff

Apr 2025

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

aime_2025
72.1
gpqa_diamond
64
hellaswag
78.9
ifeval
90.3
math
97.8

What it can do

Capabilities & limits.

Understands images
Deep step-by-step thinking
Uses tools / calls functions
Strict JSON output
Streams replies
Fine-tunable on your data

When to pick Nemotron Nano 9B V2

Multi-step reasoning, research agents, or hard math.
Agentic workflows that call tools or APIs.
High-volume workloads where unit cost matters.

When to look elsewhere

Your workload involves images — pick a vision-capable model instead.

Alternatives

Similar models to compare.

FAQ

Nemotron Nano 9B V2 — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, Nemotron Nano 9B V2 costs roughly $9 per month. Input is $0.04 /1M tokens and output is $0.16 /1M tokens.

Nemotron Nano 9B V2 has a 131,072-token context window (medium memory — a long report or a codebase file). That means you can fit about 24,576 words of input and history in a single call.

Beyond text generation, Nemotron Nano 9B V2 supports deep step-by-step reasoning, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.

Nemotron Nano 9B V2 was released in August 2025, with training data cut off around April 2025.

Models in a similar class include Nemotron 3 Nano 30B A3B, Nemotron 3 Nano 30B A3B, Nemotron 3 Super. The "Similar models" section below this FAQ links into each.

Still unsure?

Compare Nemotron Nano 9B V2 against 100+ other models.

Open the full wizard — pick a use case, set your usage, and see side-by-side monthly costs in under a minute.

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