The AI arena is free today

Open Superagent

GPT-5.6 Luna vs Nemotron Labs Dory 1.0 (4B)

GPT-5.6 Luna leads the LLM Stats Score 44.1 to 22.1.

OpenAI · NVIDIA · Updated for 2026

Which is better?

GPT-5.6 Luna leads the overall LLM Stats Score 44.1 to 22.1, ranking #50 overall.

In the 2 individual benchmarks reported for both models, GPT-5.6 Luna wins 2; this is a narrower head-to-head signal than the composite indexes.

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

Choose GPT-5.6 Luna

  • overall performance matters — it scores 44.1 and ranks #50 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results

Choose Nemotron Labs Dory 1.0 (4B)

  • you want the most recent training data — it shipped Oct 2026
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

GPT-5.6 Luna
OpenAI
Nemotron Labs Dory 1.0 (4B)
NVIDIA
Core performance indexes
LLM Stats Score
44.1
#50
22.1
#202
Reasoning
43.2
#51
19.8
#213
Coding
33.6
#38
2.9
#240
Agents
29.9
#48
-0.7
#198
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$0.20 / M
— / M
Output price
$1.20 / M
— / M
Context window
1,050,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
GPT-5.6 Luna
Nemotron Labs Dory 1.0 (4B)
Math
28.4#97
12.2#245
Tool use
23.0#48
-2.1#205
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

45 reported for GPT-5.6 Luna · 10 for Nemotron Labs Dory 1.0 (4B)

2 shared

GPT-5.6 Luna outperforms in 2 benchmarks (GPQA, Terminal-Bench 2.1), while Nemotron Labs Dory 1.0 (4B) is better at 0 benchmarks.

GPT-5.6 Luna significantly outperforms across most benchmarks.

Tue Oct 20 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-5.6 Luna specifies input context (1,050,000 tokens). Only GPT-5.6 Luna specifies output context (128,000 tokens).

OpenAI
GPT-5.6 Luna
Input1,050,000 tokens
Output128,000 tokens
NVIDIA
Nemotron Labs Dory 1.0 (4B)
Input- tokens
Output- tokens
Tue Oct 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-5.6 Luna supports multimodal inputs, whereas Nemotron Labs Dory 1.0 (4B) does not.

GPT-5.6 Luna can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5.6 Luna

Text
Images
Audio
Video

Nemotron Labs Dory 1.0 (4B)

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.6 Luna is licensed under a proprietary license, while Nemotron Labs Dory 1.0 (4B) uses OpenMDW License v1.1.

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

GPT-5.6 Luna

Proprietary

Closed source

Nemotron Labs Dory 1.0 (4B)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

GPT-5.6 Luna was released on 2026-07-09, while Nemotron Labs Dory 1.0 (4B) was released on 2026-10-16.

Nemotron Labs Dory 1.0 (4B) is 3 months newer than GPT-5.6 Luna.

GPT-5.6 Luna

Jul 9, 2026

3 months ago

Nemotron Labs Dory 1.0 (4B)

Oct 16, 2026

1 days ago

3mo newer

Knowledge Cutoff

When training data ends

GPT-5.6 Luna has a documented knowledge cutoff of 2026-02-16, while Nemotron Labs Dory 1.0 (4B)'s cutoff date is not specified.

We can confirm GPT-5.6 Luna's training data extends to 2026-02-16, but cannot make a direct comparison without Nemotron Labs Dory 1.0 (4B)'s cutoff date.

GPT-5.6 Luna

Feb 2026

Nemotron Labs Dory 1.0 (4B)

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-5.6 Luna and Nemotron Labs Dory 1.0 (4B) side-by-side, then vote on the output you prefer.

GPT-5.6 Luna
✓ Preferred
Nemotron Labs Dory 1.0 (4B)
Open in Playground

FAQ

Common questions about GPT-5.6 Luna vs Nemotron Labs Dory 1.0 (4B).

Which is better, GPT-5.6 Luna or Nemotron Labs Dory 1.0 (4B)?

GPT-5.6 Luna leads the LLM Stats Score 44.1 to 22.1. GPT-5.6 Luna is made by OpenAI and Nemotron Labs Dory 1.0 (4B) 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-5.6 Luna compare to Nemotron Labs Dory 1.0 (4B) in benchmarks?

GPT-5.6 Luna scores Connectors: 99.9%, HealthBench Consensus: 95.1%, GPQA: 92.3%, Search and Function-Calling: 89.7%, Capture-the-Flag Challenges (Internal): 85.2%. Nemotron Labs Dory 1.0 (4B) scores IFBench: 77.9%, GPQA: 72.4%, AA-LCR: 71.0%, SWE-Bench Verified: 59.5%, SciCode: 34.9%.

What are the context window sizes for GPT-5.6 Luna and Nemotron Labs Dory 1.0 (4B)?

GPT-5.6 Luna supports 1.1M tokens and Nemotron Labs Dory 1.0 (4B) 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-5.6 Luna and Nemotron Labs Dory 1.0 (4B)?

Key differences include LLM Stats Score (44.1 vs 22.1), multimodal support (yes vs no), licensing (Proprietary vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.6 Luna and Nemotron Labs Dory 1.0 (4B)?

GPT-5.6 Luna is developed by OpenAI and Nemotron Labs Dory 1.0 (4B) is developed by NVIDIA.

Related comparisons