NVIDIA: Nemotron Nano 9B V2

Public pricingIntelligence 75/100Medium memoryगहरी सोचटूल उपयोग

NVIDIA: Nemotron Nano 9B V2 एक टेक्स्ट मॉडल है, जिसे तर्क और समस्या समाधान के लिए बनाया गया है। यह गहरी तर्कशक्ति और योजना، कम latency और efficient inference, 131K tokens का context और कम लागत profile जोड़कर reasoning, analysis, and hard problem solving में भरोसेमंद काम करता है। यह तब व्यावहारिक विकल्प है जब latency, cost और throughput महत्वपूर्ण हो,

Input

$0.04/1M

Output

$0.16/1M

Cached

$0.00/1M

Batch

$0.02/1M

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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

  • math

    97.8

  • gpqa_diamond

    64

  • ifeval

    90.3

  • hellaswag

    78.9

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.

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