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 11B Instruct
Meta
Llama 3.2 11B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 63.6% across 11 benchmarks. It excels particularly in AI2D (91.1%), DocVQA (88.4%), ChartQA (83.4%). It supports a 256K token context window for handling large documents. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Meta's latest advancement in AI technology.

GPT-4
OpenAI
2023-06-13

Llama 3.2 11B Instruct
Meta
2024-09-25
1 year newer
Pricing Comparison
Cost per million tokens (USD)

GPT-4

Llama 3.2 11B Instruct
Performance Metrics
Context window and performance specifications

GPT-4

Llama 3.2 11B Instruct
Average performance across 4 common benchmarks

GPT-4

Llama 3.2 11B Instruct
Performance comparison across key benchmark categories

GPT-4

Llama 3.2 11B Instruct
GPT-4
2022-12-31
Llama 3.2 11B Instruct
2023-12-31
Provider Availability & Performance
Available providers and their performance metrics

GPT-4
Azure
OpenAI

Llama 3.2 11B Instruct
Sambanova
Together
DeepInfra
Fireworks
Groq
Bedrock

GPT-4

Llama 3.2 11B Instruct