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.

Phi 4 Mini Reasoning
Microsoft
Phi 4 Mini Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 68.0% across 3 benchmarks. It excels particularly in MATH-500 (94.6%), AIME (57.5%), GPQA (52.0%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.

Llama 3.2 90B Instruct
Meta
2024-09-25

Phi 4 Mini Reasoning
Microsoft
2025-04-30
7 months newer
Performance Metrics
Context window and performance specifications

Llama 3.2 90B Instruct

Phi 4 Mini Reasoning
Average performance across 1 common benchmarks

Llama 3.2 90B Instruct

Phi 4 Mini Reasoning
Performance comparison across key benchmark categories

Llama 3.2 90B Instruct

Phi 4 Mini Reasoning
Phi 4 Mini Reasoning
2025-02-01
Provider Availability & Performance
Available providers and their performance metrics

Llama 3.2 90B Instruct
Together
Hyperbolic
DeepInfra
Fireworks
Bedrock

Phi 4 Mini Reasoning

Llama 3.2 90B Instruct

Phi 4 Mini Reasoning