Model Comparison

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

OpenAI

GPT-4o mini

OpenAI

GPT-4o mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 63.5% across 9 benchmarks. It excels particularly in HumanEval (87.2%), MGSM (87.0%), MMLU (82.0%). It supports a 144K 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. Released in 2024, it represents OpenAI's latest advancement in AI technology.

Microsoft

Phi-3.5-vision-instruct

Microsoft

Phi-3.5-vision-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 68.3% across 9 benchmarks. It excels particularly in ScienceQA (91.3%), POPE (86.1%), MMBench (81.9%). The model shows particular specialization in general tasks with an average performance of 75.9%. 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 Microsoft's latest advancement in AI technology.

OpenAI

GPT-4o mini

OpenAI

2024-07-18

Microsoft

Phi-3.5-vision-instruct

Microsoft

2024-08-23

1 month newer

Performance Metrics

Context window and performance specifications

OpenAI

GPT-4o mini

Larger context
Max Context:144.4K
Microsoft

Phi-3.5-vision-instruct

Max Context:-
Parameters:4.2B

Average performance across 2 common benchmarks

OpenAI

GPT-4o mini

+14.6%
Average Score:58.1%
Microsoft

Phi-3.5-vision-instruct

Average Score:43.5%

Performance comparison across key benchmark categories

OpenAI

GPT-4o mini

general
52.7%
math
+27.4%
71.3%
vision
+1.9%
59.4%
Microsoft

Phi-3.5-vision-instruct

general
+23.3%
75.9%
math
43.9%
vision
57.5%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

GPT-4o mini

2023-10-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

OpenAI

GPT-4o mini

1 providers

Azure

Throughput: 92 tok/s
Latency: 0.52ms
Microsoft

Phi-3.5-vision-instruct

0 providers
OpenAI

GPT-4o mini

+14.6%
Avg Score:58.1%
Providers:1
Microsoft

Phi-3.5-vision-instruct

Avg Score:43.5%
Providers:0