Model Comparison

GPT-4o vs Llama 3.1 Nemotron 70B Instruct

GPT-4o significantly outperforms across most benchmarks.

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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.

Sat Apr 04 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Sat Apr 04 2026 • llm-stats.com
OpenAI
GPT-4o
Input tokens$2.50
Output tokens$10.00
Best providerAzure
NVIDIA
Llama 3.1 Nemotron 70B Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

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
Sat Apr 04 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

1.7 years ago

Llama 3.1 Nemotron 70B Instruct

Oct 1, 2024

1.5 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

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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

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

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