Model Comparison

GPT-4o vs Llama 3.1 Nemotron 70B InstructWhich is better in 2026?

GPT-4o significantly outperforms across most benchmarks.

Verdict: GPT-4o vs Llama 3.1 Nemotron 70B Instruct — which is better?

GPT-4o (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.

GPT-4o outperforms in 1 benchmarks (MMLU), while Llama 3.1 Nemotron 70B Instruct is better at 0 benchmarks. GPT-4o significantly outperforms across most benchmarks.

Choose GPT-4o if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks

Choose Llama 3.1 Nemotron 70B Instruct if…

  • you want the most recent training data — it shipped Oct 2024
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GPT-4o outperforms in 1 benchmarks (MMLU), while Llama 3.1 Nemotron 70B Instruct is better at 0 benchmarks.

GPT-4o significantly outperforms across most benchmarks.

Sun Aug 02 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only GPT-4o specifies input context (128,000 tokens). Only GPT-4o specifies output context (16,384 tokens).

OpenAI
GPT-4o
Input128,000 tokens
Output16,384 tokens
NVIDIA
Llama 3.1 Nemotron 70B Instruct
Input- tokens
Output- tokens
Sun Aug 02 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4o supports multimodal inputs, whereas Llama 3.1 Nemotron 70B Instruct does not.

GPT-4o can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-4o

Text
Images
Audio
Video

Llama 3.1 Nemotron 70B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4o 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-4o

Proprietary

Closed source

Llama 3.1 Nemotron 70B Instruct

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

GPT-4o was released on 2024-08-06, while Llama 3.1 Nemotron 70B Instruct was released on 2024-10-01.

Llama 3.1 Nemotron 70B Instruct is 2 months newer than GPT-4o.

GPT-4o

Aug 6, 2024

2.0 years ago

Llama 3.1 Nemotron 70B Instruct

Oct 1, 2024

1.8 years ago

1mo newer

Knowledge Cutoff

When training data ends

Llama 3.1 Nemotron 70B Instruct has a documented knowledge cutoff of 2023-12-01, while GPT-4o's cutoff date is not specified.

We can confirm Llama 3.1 Nemotron 70B Instruct's training data extends to 2023-12-01, but cannot make a direct comparison without GPT-4o's cutoff date.

GPT-4o

—

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 (128,000 tokens)
Supports multimodal inputs
Higher MMLU score (85.7% vs 80.2%)
NVIDIA
Has open weights

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against GPT-4o and Llama 3.1 Nemotron 70B Instruct side-by-side, then vote on the output you prefer.

GPT-4o
✓ Preferred
Llama 3.1 Nemotron 70B Instruct
Open in Playground
AI Model Comparison Table
Feature
OpenAI
GPT-4o
NVIDIA
Llama 3.1 Nemotron 70B Instruct

FAQ

Common questions about GPT-4o vs Llama 3.1 Nemotron 70B Instruct.

Which is better, GPT-4o or Llama 3.1 Nemotron 70B Instruct?

GPT-4o significantly outperforms across most benchmarks. GPT-4o is made by OpenAI and Llama 3.1 Nemotron 70B Instruct is made by NVIDIA. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GPT-4o compare to Llama 3.1 Nemotron 70B Instruct in benchmarks?

GPT-4o scores AI2D: 94.2%, DocVQA: 92.8%, ChartQA: 85.7%, MMLU: 85.7%, CharXiv-D: 85.3%. 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-4o and Llama 3.1 Nemotron 70B Instruct?

GPT-4o supports 128K 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-4o 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-4o and Llama 3.1 Nemotron 70B Instruct?

GPT-4o is developed by OpenAI and Llama 3.1 Nemotron 70B Instruct is developed by NVIDIA.

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