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

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.

o4-mini
OpenAI
o4-mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 66.5% across 14 benchmarks. It excels particularly in AIME 2024 (93.4%), AIME 2025 (92.7%), MathVista (84.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.

Llama 3.2 90B Instruct
Meta
2024-09-25

o4-mini
OpenAI
2025-04-16
6 months newer
Performance Metrics
Context window and performance specifications

Llama 3.2 90B Instruct

o4-mini
Average performance across 3 common benchmarks

Llama 3.2 90B Instruct

o4-mini
Performance comparison across key benchmark categories

Llama 3.2 90B Instruct

o4-mini
o4-mini
2024-05-31
Provider Availability & Performance
Available providers and their performance metrics

Llama 3.2 90B Instruct
Together
Hyperbolic
DeepInfra
Fireworks
Bedrock

o4-mini

Llama 3.2 90B Instruct

o4-mini