Model Comparison
GPT-4 vs Llama 3.1 Nemotron 70B Instruct
GPT-4 significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4 outperforms in 3 benchmarks (HellaSwag, MMLU, Winogrande), while Llama 3.1 Nemotron 70B Instruct is better at 0 benchmarks.
GPT-4 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Context Window
Maximum input and output token capacity
Only GPT-4 specifies input context (32,768 tokens). Only GPT-4 specifies output context (32,768 tokens).
Input Capabilities
Supported data types and modalities
GPT-4 supports multimodal inputs, whereas Llama 3.1 Nemotron 70B Instruct does not.
GPT-4 can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4
Llama 3.1 Nemotron 70B Instruct
License
Usage and distribution terms
GPT-4 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.
Proprietary
Closed source
Llama 3.1 Community License
Open weights
Release Timeline
When each model was launched
GPT-4 was released on 2023-06-13, while Llama 3.1 Nemotron 70B Instruct was released on 2024-10-01.
Llama 3.1 Nemotron 70B Instruct is 16 months newer than GPT-4.
Jun 13, 2023
2.8 years ago
Oct 1, 2024
1.5 years ago
1.3yr newerKnowledge Cutoff
When training data ends
GPT-4 has a knowledge cutoff of 2022-12-31, while Llama 3.1 Nemotron 70B Instruct has a cutoff of 2023-12-01.
Llama 3.1 Nemotron 70B Instruct has more recent training data (up to 2023-12-01), making it potentially better informed about events through that date compared to GPT-4 (2022-12-31).
Dec 2022
Dec 2023
1 yr newerOutputs Comparison
Key Takeaways
GPT-4
View detailsOpenAI
Detailed Comparison
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FAQ
Common questions about GPT-4 vs Llama 3.1 Nemotron 70B Instruct