NVIDIA: Nemotron Nano 12B 2 VL

Public pricingIntelligence 79/100Medium memory비전심층 추론도구 활용

NVIDIA: Nemotron Nano 12B 2 VL은 멀티모달 추론과 분석에 맞춘 멀티모달 모델입니다. 멀티모달 입력 처리、깊은 추론과 계획, 131K tokens의 컨텍스트, 저비용 특성을 결합해 멀티모달 추론과 분석에서 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. 안정적인 응답, 넓은 문맥 처리, 그리고 시제품부터 운영까지 이어지는 유연성이 필요할 때 유용합니다.

Input

$0.20/1M

Output

$0.60/1M

Cached

$0.00/1M

Batch

$0.02/1M

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Technical specifications

Nemotron Nano 12B 2 VL at a glance.

Memory

131,072

tokens

Max reply

32,768

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

Released

Dec 2025

Training cutoff

Jun 2025

Availability

Public pricing

Status

active

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 12B 2 VL

  • Multi-step reasoning, research agents, or hard math.
  • Screenshot analysis, image understanding, or document OCR.
  • Agentic workflows that call tools or APIs.
  • High-volume workloads where unit cost matters.

When to look elsewhere

  • Very latency-sensitive, real-time apps where every millisecond counts.

FAQ

Nemotron Nano 12B 2 VL — 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 12B 2 VL costs roughly $39 per month. Input is $0.20 /1M tokens and output is $0.60 /1M tokens.
Nemotron Nano 12B 2 VL 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 12B 2 VL supports understanding images, deep step-by-step reasoning, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Nemotron Nano 12B 2 VL was released in December 2025, with training data cut off around June 2025.
Models in a similar class include Nemotron Nano 12B 2 VL, GPT-5.4 Nano, Grok 4 Fast. The "Similar models" section below this FAQ links into each.

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