Model Comparison

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

OpenAI

o1-mini

OpenAI

o1-mini is a language model developed by OpenAI. It achieves strong performance with an average score of 71.9% across 6 benchmarks. It excels particularly in HumanEval (92.4%), MATH-500 (90.0%), MMLU (85.2%). It supports a 194K token context window for handling large documents. The model is available through 2 API providers. 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.

Microsoft

Phi-3.5-vision-instruct

Microsoft

2024-08-23

OpenAI

o1-mini

OpenAI

2024-09-12

20 days newer

Performance Metrics

Context window and performance specifications

OpenAI

o1-mini

Larger context
Max Context:193.5K
Microsoft

Phi-3.5-vision-instruct

Max Context:-
Parameters:4.2B

Performance comparison across key benchmark categories

OpenAI

o1-mini

math
+46.1%
90.0%
general
58.0%
Microsoft

Phi-3.5-vision-instruct

math
43.9%
general
+18.0%
75.9%

Provider Availability & Performance

Available providers and their performance metrics

OpenAI

o1-mini

2 providers

Azure

Throughput: 100 tok/s
Latency: 0.5ms

OpenAI

Throughput: 115 tok/s
Latency: 5.2ms
Microsoft

Phi-3.5-vision-instruct

0 providers
OpenAI

o1-mini

Avg Score:0.0%
Providers:2
Microsoft

Phi-3.5-vision-instruct

Avg Score:0.0%
Providers:0