Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

GPT-4
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 shows particular specialization in reasoning tasks with an average performance of 93.0%. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly.

Llama 3.2 90B Instruct
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.

GPT-4
OpenAI
2023-06-13

Llama 3.2 90B Instruct
Meta
2024-09-25
1 year newer
Pricing Comparison
Cost per million tokens (USD)

GPT-4

Llama 3.2 90B Instruct
Performance Metrics
Context window and performance specifications

GPT-4

Llama 3.2 90B Instruct
Average performance across 4 common benchmarks

GPT-4

Llama 3.2 90B Instruct
Performance comparison across key benchmark categories

GPT-4

Llama 3.2 90B Instruct
GPT-4
2022-12-31
Provider Availability & Performance
Available providers and their performance metrics

GPT-4
Azure
OpenAI

Llama 3.2 90B Instruct
Together
Hyperbolic
DeepInfra
Fireworks
Bedrock

GPT-4

Llama 3.2 90B Instruct