Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Llama 3.2 90B Instruct offers 190.5K more tokens in context window than GPT-4. Llama 3.2 90B Instruct is $89.25 cheaper per million tokens. Llama 3.2 90B Instruct is available on 5 providers. Both models have their strengths depending on your specific coding needs.
OpenAI
GPT-4 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 77.7% across 12 benchmarks. It excels particularly in AI2 Reasoning Challenge (ARC) (96.3%), HellaSwag (95.3%), Uniform Bar Exam (90.0%). The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly.
Meta
Llama 3.2 90B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.3% across 13 benchmarks. It excels particularly in AI2D (92.3%), DocVQA (90.1%), MGSM (86.9%). It supports a 256K token context window for handling large documents. The model is available through 5 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Meta's latest advancement in AI technology.
1 year newer
GPT-4
OpenAI
2023-06-13
Llama 3.2 90B Instruct
Meta
2024-09-25
Cost per million tokens (USD)
GPT-4
Llama 3.2 90B Instruct
Context window and performance specifications
Average performance across 21 common benchmarks
GPT-4
Llama 3.2 90B Instruct
GPT-4
2022-12-31
Available providers and their performance metrics
GPT-4
Azure
OpenAI
GPT-4
Llama 3.2 90B Instruct
GPT-4
Llama 3.2 90B Instruct
Llama 3.2 90B Instruct
Bedrock
DeepInfra
Fireworks
Hyperbolic
Together