Nvidia logo

Nemotron Nano 12B v2 VL (Non-reasoning) – Benchmarks, Pricing & Intelligence Analysis

12B

Not available on LLMBase

Nemotron Nano 12B v2 VL (Non-reasoning) is not currently available in LLMBase Chat or the LLMBase Inference API. Benchmarks, pricing, and model details remain available for research and comparison.

Input Price$0.20/1M tokens
Output Price$0.60/1M tokens
Intelligence4.6
CodingN/A

Specifications

Technical details and pricing.

ProviderNvidia
Context WindowN/A
Release DateOct 28, 2025
ModalitiesText
AvailabilityNot available

Benchmarks

10 benchmark scores from Artificial Analysis.

GPQA43.9%
MMLU Pro64.9%
HLE4.5%
LiveCodeBench34.5%
AIME 202526.7%
SciCode17.6%
LCR17.0%
IFBench25.9%
Tau219.3%
TerminalBench Hard0.0%

Composite Indices

Higher is better; speed and price are normalized

Standard Benchmarks

Only benchmarks with data are shown

EU-Hosted Inference API

Power your AI projects with the best open-source models.

Drop-in OpenAI-compatible API. No data leaves Europe.

Explore Inference API

MiniMax

MiniMax M3

$0.40 / $1.40

per M tokens

Z.ai

GLM 5.2

$1.40 / $4.40

per M tokens

MoonshotAI

Kimi K2.7 Code

$0.95 / $4.00

per M tokens

DeepSeek

DeepSeek V4 Pro

$1.80 / $3.60

per M tokens

Frequently Asked Questions

What is Nemotron Nano 12B v2 VL (Non-reasoning) good for?

Nemotron Nano 12B v2 VL (Non-reasoning) currently has benchmark and pricing data on this page. Runtime metadata will appear later when the model catalog entry becomes available.

How much does Nemotron Nano 12B v2 VL (Non-reasoning) cost?

Pricing is based on usage. Current rates are $0.20/1M tokens for input and $0.60/1M tokens for output.

Is Nemotron Nano 12B v2 VL (Non-reasoning) available in LLMBase Chat yet?

Not yet on this page. We will add chat and inference actions automatically once an exact catalog entry exists for Nemotron Nano 12B v2 VL (Non-reasoning).

Does Nemotron Nano 12B v2 VL (Non-reasoning) support images or audio?

Nemotron Nano 12B v2 VL (Non-reasoning) focuses on text-based tasks.

Benchmarks and pricing use Artificial Analysis where available. Catalog specs are used as a fallback.