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GPT-6 Luna vs Nemotron Nano 9B v2

GPT-6 Luna leads the LLM Stats Score 44.5 to 18.4.

OpenAI · NVIDIA · Updated for 2026

Which is better?

GPT-6 Luna leads the overall LLM Stats Score 44.5 to 18.4, ranking #41 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GPT-6 Luna

  • overall performance matters — it scores 44.5 and ranks #41 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose Nemotron Nano 9B v2

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

GPT-6 Luna
OpenAI
Nemotron Nano 9B v2
NVIDIA
Core performance indexes
LLM Stats Score
44.5
#41
18.4
#217
Reasoning
40.0
#58
17.2
#216
Coding
31.4
#47
14.4
#139
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.10 / M
— / M
Output price
$0.50 / M
— / M
Context window
1,050,000
—

Individual benchmarks

5 reported for GPT-6 Luna · 6 for Nemotron Nano 9B v2

No common benchmarks found

GPT-6 Luna and Nemotron Nano 9B v2don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-6 Luna specifies input context (1,050,000 tokens). Only GPT-6 Luna specifies output context (128,000 tokens).

OpenAI
GPT-6 Luna
Input1,050,000 tokens
Output128,000 tokens
NVIDIA
Nemotron Nano 9B v2
Input- tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-6 Luna supports multimodal inputs, whereas Nemotron Nano 9B v2 does not.

GPT-6 Luna can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-6 Luna

Text
Images
Audio
Video

Nemotron Nano 9B v2

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6 Luna is licensed under a proprietary license, while Nemotron Nano 9B v2 uses NVIDIA Open Model License Agreement .

License differences may affect how you can use these models in commercial or open-source projects.

GPT-6 Luna

Proprietary

Closed source

Nemotron Nano 9B v2

NVIDIA Open Model License Agreement

Open weights

Release Timeline

When each model was launched

GPT-6 Luna was released on 2026-09-22, while Nemotron Nano 9B v2 was released on 2025-08-18.

GPT-6 Luna is 13 months newer than Nemotron Nano 9B v2.

GPT-6 Luna

Sep 22, 2026

0 days ago

1.1yr newer
Nemotron Nano 9B v2

Aug 18, 2025

1.1 years ago

Knowledge Cutoff

When training data ends

GPT-6 Luna has a knowledge cutoff of 2026-05-18, while Nemotron Nano 9B v2 has a cutoff of 2024-09-01.

GPT-6 Luna has more recent training data (up to 2026-05-18), making it potentially better informed about events through that date compared to Nemotron Nano 9B v2 (2024-09-01).

GPT-6 Luna

May 2026

1.7 yr newer
Nemotron Nano 9B v2

Sep 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against GPT-6 Luna and Nemotron Nano 9B v2 side-by-side, then vote on the output you prefer.

GPT-6 Luna
✓ Preferred
Nemotron Nano 9B v2
Open in Playground

FAQ

Common questions about GPT-6 Luna vs Nemotron Nano 9B v2.

Which is better, GPT-6 Luna or Nemotron Nano 9B v2?

GPT-6 Luna leads the LLM Stats Score 44.5 to 18.4. GPT-6 Luna is made by OpenAI and Nemotron Nano 9B v2 is made by NVIDIA. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GPT-6 Luna compare to Nemotron Nano 9B v2 in benchmarks?

GPT-6 Luna scores DeepSWE 1.1: 66.6%, OSWorld 2.0: 52.7%, Agents' Last Exam: 50.9%, FrontierCode 1.1: 42.4%, AutomationBench v1.0.6: 20.7%. Nemotron Nano 9B v2 scores MATH-500: 97.8%, IFEval: 90.3%, AIME 2025: 72.1%, LiveCodeBench: 71.1%, BFCL_v3_MultiTurn: 66.9%.

What are the context window sizes for GPT-6 Luna and Nemotron Nano 9B v2?

GPT-6 Luna supports 1.1M tokens and Nemotron Nano 9B v2 supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-6 Luna and Nemotron Nano 9B v2?

Key differences include LLM Stats Score (44.5 vs 18.4), multimodal support (yes vs no), licensing (Proprietary vs NVIDIA Open Model License Agreement ). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6 Luna and Nemotron Nano 9B v2?

GPT-6 Luna is developed by OpenAI and Nemotron Nano 9B v2 is developed by NVIDIA.

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