Model Comparison

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

OpenAI

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.

Microsoft

Phi-3.5-MoE-instruct

Microsoft

Phi-3.5-MoE-instruct is a language model developed by Microsoft. It achieves strong performance with an average score of 65.6% across 31 benchmarks. It excels particularly in ARC-C (91.0%), OpenBookQA (89.6%), GSM8k (88.7%). The model shows particular specialization in reasoning tasks with an average performance of 85.4%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.

Microsoft

Phi-3.5-MoE-instruct

Microsoft

2024-08-23

OpenAI

o4-mini

OpenAI

2025-04-16

7 months newer

Average performance across 1 common benchmarks

OpenAI

o4-mini

+44.6%
Average Score:81.4%
Microsoft

Phi-3.5-MoE-instruct

Average Score:36.8%

Performance comparison across key benchmark categories

OpenAI

o4-mini

math
+15.3%
84.3%
general
+3.5%
64.4%
Microsoft

Phi-3.5-MoE-instruct

math
69.0%
general
60.9%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

o4-mini

2024-05-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

OpenAI

o4-mini

0 providers
Microsoft

Phi-3.5-MoE-instruct

0 providers
OpenAI

o4-mini

+44.6%
Avg Score:81.4%
Providers:0
Microsoft

Phi-3.5-MoE-instruct

Avg Score:36.8%
Providers:0