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

o3-mini
OpenAI
o3-mini is a language model developed by OpenAI. The model shows competitive results across 26 benchmarks. It excels particularly in COLLIE (98.7%), MATH (97.9%), IFEval (93.9%). It supports a 300K token context window for handling large documents. The model is available through 2 API providers. Released in 2025, it represents OpenAI's latest advancement in AI technology.

Phi-4-multimodal-instruct
Microsoft
Phi-4-multimodal-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 72.0% across 15 benchmarks. It excels particularly in ScienceQA Visual (97.5%), DocVQA (93.2%), MMBench (86.7%). The model shows particular specialization in general tasks with an average performance of 75.8%. It supports a 256K token context window for handling large documents. The model is available through 1 API provider. 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 2025, it represents Microsoft's latest advancement in AI technology.

o3-mini
OpenAI
2025-01-30

Phi-4-multimodal-instruct
Microsoft
2025-02-01
2 days newer
Pricing Comparison
Cost per million tokens (USD)

o3-mini

Phi-4-multimodal-instruct
Performance Metrics
Context window and performance specifications

o3-mini

Phi-4-multimodal-instruct
Performance comparison across key benchmark categories

o3-mini

Phi-4-multimodal-instruct
o3-mini
2023-09-30
Phi-4-multimodal-instruct
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

o3-mini
Azure
OpenAI

Phi-4-multimodal-instruct
DeepInfra

o3-mini

Phi-4-multimodal-instruct