Model Comparison

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

OpenAI

o1

OpenAI

o1 is a language model developed by OpenAI. It achieves strong performance with an average score of 71.6% across 19 benchmarks. It excels particularly in GSM8k (97.1%), MATH (96.4%), GPQA Physics (92.8%). It supports a 300K 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 4 Mini

Microsoft

Phi 4 Mini is a language model developed by Microsoft. It achieves strong performance with an average score of 65.4% across 17 benchmarks. It excels particularly in GSM8k (88.6%), ARC-C (83.7%), BoolQ (81.2%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.

OpenAI

o1

OpenAI

2024-12-17

Microsoft

Phi 4 Mini

Microsoft

2025-02-01

1 month newer

Performance Metrics

Context window and performance specifications

OpenAI

o1

Larger context
Max Context:300.0K
Microsoft

Phi 4 Mini

Max Context:-
Parameters:3.8B

Average performance across 5 common benchmarks

OpenAI

o1

+28.7%
Average Score:90.5%
Microsoft

Phi 4 Mini

Average Score:61.8%

Performance comparison across key benchmark categories

OpenAI

o1

math
72.0%
general
+11.0%
71.8%
Microsoft

Phi 4 Mini

math
+0.1%
72.2%
general
60.8%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Phi 4 Mini

2024-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

OpenAI

o1

2 providers

Azure

Throughput: 16 tok/s
Latency: 0.54ms

OpenAI

Throughput: 66 tok/s
Latency: 16.2ms
Microsoft

Phi 4 Mini

0 providers
OpenAI

o1

+28.7%
Avg Score:90.5%
Providers:2
Microsoft

Phi 4 Mini

Avg Score:61.8%
Providers:0