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GPT-5 nano vs Nemotron Labs Dory 1.0 (4B)

GPT-5 nano and Nemotron Labs Dory 1.0 (4B) are closely matched at 19.1 and 22.1 on the LLM Stats Score.

OpenAI · NVIDIA · Updated for 2026

Which is better?

GPT-5 nano and Nemotron Labs Dory 1.0 (4B) are closely matched on the overall LLM Stats Score at 19.1 and 22.1.

In the 2 individual benchmarks reported for both models, Nemotron Labs Dory 1.0 (4B) 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 nano

  • you want predictable pricing at $0.05/M input and $0.40/M output

Choose Nemotron Labs Dory 1.0 (4B)

  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • 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 nano
OpenAI
Nemotron Labs Dory 1.0 (4B)
NVIDIA
Core performance indexes
LLM Stats Score
19.1
#229
22.1
#202
Reasoning
18.4
#229
19.8
#213
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
$0.05 / M
— / M
Output price
$0.40 / M
— / M
Context window
400,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-5 nano
Nemotron Labs Dory 1.0 (4B)
Math
18.9#181
12.2#245
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

5 reported for GPT-5 nano · 10 for Nemotron Labs Dory 1.0 (4B)

2 shared

GPT-5 nano outperforms in 0 benchmarks, while Nemotron Labs Dory 1.0 (4B) is better at 2 benchmarks (GPQA, Humanity's Last Exam).

Nemotron Labs Dory 1.0 (4B) 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 nano specifies input context (400,000 tokens). Only GPT-5 nano specifies output context (128,000 tokens).

OpenAI
GPT-5 nano
Input400,000 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 nano supports multimodal inputs, whereas Nemotron Labs Dory 1.0 (4B) does not.

GPT-5 nano can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5 nano

Text
Images
Audio
Video

Nemotron Labs Dory 1.0 (4B)

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5 nano 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 nano

Proprietary

Closed source

Nemotron Labs Dory 1.0 (4B)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

GPT-5 nano was released on 2025-08-07, while Nemotron Labs Dory 1.0 (4B) was released on 2026-10-16.

Nemotron Labs Dory 1.0 (4B) is 15 months newer than GPT-5 nano.

GPT-5 nano

Aug 7, 2025

1.2 years ago

Nemotron Labs Dory 1.0 (4B)

Oct 16, 2026

1 days ago

1.2yr newer

Knowledge Cutoff

When training data ends

GPT-5 nano has a documented knowledge cutoff of 2024-05-30, while Nemotron Labs Dory 1.0 (4B)'s cutoff date is not specified.

We can confirm GPT-5 nano's training data extends to 2024-05-30, but cannot make a direct comparison without Nemotron Labs Dory 1.0 (4B)'s cutoff date.

GPT-5 nano

May 2024

Nemotron Labs Dory 1.0 (4B)

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-5 nano and Nemotron Labs Dory 1.0 (4B) side-by-side, then vote on the output you prefer.

GPT-5 nano
✓ Preferred
Nemotron Labs Dory 1.0 (4B)
Open in Playground

FAQ

Common questions about GPT-5 nano vs Nemotron Labs Dory 1.0 (4B).

Which is better, GPT-5 nano or Nemotron Labs Dory 1.0 (4B)?

GPT-5 nano and Nemotron Labs Dory 1.0 (4B) are closely matched on the LLM Stats Score at 19.1 and 22.1. GPT-5 nano 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 nano compare to Nemotron Labs Dory 1.0 (4B) in benchmarks?

GPT-5 nano scores AIME 2025: 85.2%, HMMT 2025: 75.6%, GPQA: 71.2%, FrontierMath: 9.6%, Humanity's Last Exam: 8.7%. 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 nano and Nemotron Labs Dory 1.0 (4B)?

GPT-5 nano supports 400K 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 nano and Nemotron Labs Dory 1.0 (4B)?

Key differences include LLM Stats Score (19.1 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 nano and Nemotron Labs Dory 1.0 (4B)?

GPT-5 nano is developed by OpenAI and Nemotron Labs Dory 1.0 (4B) is developed by NVIDIA.

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