NVIDIA: Nemotron Nano 12B 2 VL

Public pricingIntelligence 79/100Medium memoryVisiónRazonamiento profundoUso de herramientas

NVIDIA: Nemotron Nano 12B 2 VL es un modelo multimodal pensado para razonamiento y análisis multimodal. Combina el manejo multimodal de entradas y razonamiento y planificación profundos, un contexto de 131K tokens y un perfil bajo costo para trabajar con fiabilidad en razonamiento y análisis multimodal.

Input

$0.20/1M

Output

$0.60/1M

Cached

$0.00/1M

Batch

$0.02/1M

Calculate your Nemotron Nano 12B 2 VL bill.

Set your workload — see cost at your exact volume.

What would Nemotron Nano 12B 2 VL cost you?

Adjust the workload to see your monthly bill.

1,00010,00050,000250,0001M10M

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.

Alternatives

Similar models to compare.

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.

Still unsure?

Compare Nemotron Nano 12B 2 VL 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.

Open the comparison wizard