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Nemotron Nano 9B V2 (Non-reasoning) – Benchmarks, Pricing & Intelligence Analysis

9B

Not available on LLMBase

Nemotron Nano 9B V2 (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$0.05/1M tokens
Output Price$0.20/1M tokens
Intelligence7.4
CodingN/A

Specifications

Technical details and pricing.

ProviderNvidia
Context WindowN/A
Release DateAug 18, 2025
ModalitiesText
AvailabilityNot available

Benchmarks

10 benchmark scores from Artificial Analysis.

GPQA55.7%
MMLU Pro73.9%
HLE4.0%
LiveCodeBench70.1%
AIME 202562.3%
SciCode20.9%
LCR22.7%
IFBench27.1%
Tau223.4%
TerminalBench Hard0.8%

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 9B V2 (Non-reasoning) good for?

Nemotron Nano 9B V2 (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 9B V2 (Non-reasoning) cost?

Pricing is based on usage. Current rates are $0.05/1M tokens for input and $0.20/1M tokens for output.

Is Nemotron Nano 9B V2 (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 9B V2 (Non-reasoning).

Does Nemotron Nano 9B V2 (Non-reasoning) support images or audio?

Nemotron Nano 9B V2 (Non-reasoning) focuses on text-based tasks.

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