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  4. Nemotron Nano 9B V2
NVIDIA
Released August 18, 2025Cutoff March 2025

Nemotron Nano 9B V2

NVIDIA Nemotron Nano 9B V2 is NVIDIA’s unified reasoning and non-reasoning model with /think controls, tool calling, and 128K context.

Visit NVIDIAAnnouncement
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Model Overview

Capabilities, design details, and architectural traits

Nemotron Nano 9B V2 - Unified reasoning and non-reasoning model

Nemotron Nano 9B V2 is NVIDIA’s model for both reasoning and non-reasoning tasks. It is built to generate a reasoning trace first, then a final response, with runtime control over that behavior.

Distinctive traitWhat is documented
Unified task modeDesigned as a unified model for both reasoning and non-reasoning tasks.
Reasoning trace controlUses /think and /no_think style control for reasoning on or off.
Tool calling supportDocumented with native tool-calling use.
Long contextSupports up to 128K context.

Reasoning pattern

The model can answer with intermediate reasoning traces or without them, depending on the prompt control. Its documented behavior is to produce the trace first and the final response afterward. The model card also describes a runtime thinking budget for controlling how much it reasons.

Architecture focus

The model uses a hybrid Mamba-2 and MLP design with four attention layers. The official docs place it in the Nemotron Nano v2 family and describe it as optimized for long-sequence use.

Benchmark Performance

Independent evaluations · Artificial Analysis

8.7%
Intelligence

Accuracy & Capability Details

GPQA - Graduate Science57.0%
Humanity's Last Exam4.9%
SciCode - Scientific Coding22.0%
Instruction Following27.6%
Long Context Reasoning23.0%
τ²-Bench - Agentic Tasks21.9%
TerminalBench - System Control1.5%
Specs
Context window
128Ktokens
Input pricing
$0.05per 1M tokens
Output pricing
$0.20per 1M tokens

Prices in USD.

Key Capabilities & Ratings

Structured Outputs90%
Instruction Following90%
Advanced Math80%
General Knowledge80%
Logical Logic80%

Compare Models Side-by-Side

Evaluate specifications, pricing, and independent benchmark indices

Model Details
General Info
ProviderNVIDIAAnthropicAnthropic
Release DateAugust 18, 2025July 24, 2026June 9, 2026
Knowledge CutoffMar 2025May 2026-
Context & Limits
Context Window128K
1M
Best Context Window
1M
Best Context Window
Pricing (per 1M tokens)
Input Pricing
$0.05
Best Input Pricing
$5$10
Output Pricing
$0.20
Best Output Pricing
$25$50
Modalities
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Outputs
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Benchmarks (0-100)
Intelligence Index7.2
63.1
Best Intelligence Index
62.1
Coding Index-
78.0
Best Coding Index
76.5
Agentic Index-
59.2
Best Agentic Index
56.6
Nemotron Nano 9B V2
Claude Opus 5
Claude Fable 5

GPQA Benchmark

Graduate-level reasoning and expert Q&A evaluation.

56%
Nemotron Nano 9B V2
GPQA Benchmark
Score: 56%
Nemotron Nano 9B V2
93%
Claude Opus 5
GPQA Benchmark
Score: 93%
Claude Opus 5
93%
Claude Fable 5
GPQA Benchmark
Score: 93%
Claude Fable 5

Humanity's Last Exam

Extremely difficult logical reasoning and knowledge.

5%
Nemotron Nano 9B V2
Humanity's Last Exam
Score: 5%
Nemotron Nano 9B V2
55%
Claude Opus 5
Humanity's Last Exam
Score: 55%
Claude Opus 5
56%
Claude Fable 5
Humanity's Last Exam
Score: 56%
Claude Fable 5

Long Context Reasoning

Logical reasoning over long context windows.

26%
Nemotron Nano 9B V2
Long Context Reasoning
Score: 26%
Nemotron Nano 9B V2
76%
Claude Opus 5
Long Context Reasoning
Score: 76%
Claude Opus 5
77%
Claude Fable 5
Long Context Reasoning
Score: 77%
Claude Fable 5

Independent evaluation data provided by Artificial Analysis. To view the latest benchmarks and full details, visit their official site.

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