NVIDIA: Nemotron Nano 12B 2 VL

Public pricingIntelligence 79/100Medium memoryविज़नगहरी सोचटूल उपयोग

NVIDIA: Nemotron Nano 12B 2 VL एक मल्टीमॉडल मॉडल है, जिसे multimodal तर्क और विश्लेषण के लिए बनाया गया है। यह multimodal input handling، गहरी तर्कशक्ति और योजना, 131K tokens का context और कम लागत profile जोड़कर multimodal तर्क और विश्लेषण में भरोसेमंद काम करता है। यह तब व्यावहारिक विकल्प है जब latency, cost और throughput महत्वपूर्ण हो, खासकर उन टीमों के लिए जिन्हें स्थिर output,

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