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

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.

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.

Phi-4-multimodal-instruct
Microsoft
2025-02-01

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

o4-mini

Phi-4-multimodal-instruct
Average performance across 2 common benchmarks

o4-mini

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

o4-mini

Phi-4-multimodal-instruct
o4-mini
2024-05-31
Phi-4-multimodal-instruct
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

o4-mini

Phi-4-multimodal-instruct
DeepInfra

o4-mini

Phi-4-multimodal-instruct