Model Comparison

GPT-5 nano vs Llama 3.1 Nemotron 70B InstructWhich is better in 2026?

Comparing GPT-5 nano and Llama 3.1 Nemotron 70B Instruct across benchmarks, pricing, and capabilities.

Verdict: GPT-5 nano vs Llama 3.1 Nemotron 70B Instruct — which is better?

GPT-5 nano (by OpenAI) and Llama 3.1 Nemotron 70B Instruct (by NVIDIA) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Choose GPT-5 nano if…

  • you want the most recent training data — it shipped Aug 2025

Choose Llama 3.1 Nemotron 70B Instruct if…

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

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GPT-5 nano and Llama 3.1 Nemotron 70B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

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
Llama 3.1 Nemotron 70B Instruct
Input- tokens
Output- tokens
Sat Jun 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5 nano supports multimodal inputs, whereas Llama 3.1 Nemotron 70B Instruct 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

Llama 3.1 Nemotron 70B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5 nano is licensed under a proprietary license, while Llama 3.1 Nemotron 70B Instruct uses Llama 3.1 Community License.

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

GPT-5 nano

Proprietary

Closed source

Llama 3.1 Nemotron 70B Instruct

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

GPT-5 nano was released on 2025-08-07, while Llama 3.1 Nemotron 70B Instruct was released on 2024-10-01.

GPT-5 nano is 10 months newer than Llama 3.1 Nemotron 70B Instruct.

GPT-5 nano

Aug 7, 2025

10 months ago

10mo newer
Llama 3.1 Nemotron 70B Instruct

Oct 1, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

GPT-5 nano has a knowledge cutoff of 2024-05-30, while Llama 3.1 Nemotron 70B Instruct has a cutoff of 2023-12-01.

GPT-5 nano has more recent training data (up to 2024-05-30), making it potentially better informed about events through that date compared to Llama 3.1 Nemotron 70B Instruct (2023-12-01).

GPT-5 nano

May 2024

5 mo newer
Llama 3.1 Nemotron 70B Instruct

Dec 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

OpenAI
Larger context window (400,000 tokens)
Supports multimodal inputs
NVIDIA
Has open weights

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against GPT-5 nano and Llama 3.1 Nemotron 70B Instruct side-by-side, then vote on the output you prefer.

GPT-5 nano
✓ Preferred
Llama 3.1 Nemotron 70B Instruct
Open in Playground
AI Model Comparison Table
Feature
OpenAI
GPT-5 nano
NVIDIA
Llama 3.1 Nemotron 70B Instruct

FAQ

Common questions about GPT-5 nano vs Llama 3.1 Nemotron 70B Instruct.

Which is better, GPT-5 nano or Llama 3.1 Nemotron 70B Instruct?

GPT-5 nano (OpenAI) and Llama 3.1 Nemotron 70B Instruct (NVIDIA) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GPT-5 nano compare to Llama 3.1 Nemotron 70B Instruct 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%. Llama 3.1 Nemotron 70B Instruct scores GSM8k: 91.4%, HellaSwag: 85.6%, Winogrande: 84.5%, GSM8K Chat: 81.9%, MMLU Chat: 80.6%.

What are the context window sizes for GPT-5 nano and Llama 3.1 Nemotron 70B Instruct?

GPT-5 nano supports 400K tokens and Llama 3.1 Nemotron 70B Instruct 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 Llama 3.1 Nemotron 70B Instruct?

Key differences include multimodal support (yes vs no), licensing (Proprietary vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5 nano and Llama 3.1 Nemotron 70B Instruct?

GPT-5 nano is developed by OpenAI and Llama 3.1 Nemotron 70B Instruct is developed by NVIDIA.

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