Model Comparison

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

OpenAI

o1-preview

OpenAI

o1-preview is a language model developed by OpenAI. It achieves strong performance with an average score of 64.8% across 8 benchmarks. It excels particularly in MGSM (90.8%), MMLU (90.8%), MATH (85.5%). The model shows particular specialization in math tasks with an average performance of 88.1%. It supports a 161K 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

Microsoft

Phi 4 is a language model developed by Microsoft. It achieves strong performance with an average score of 66.0% across 13 benchmarks. It excels particularly in MMLU (84.8%), HumanEval+ (82.8%), HumanEval (82.6%). The model shows particular specialization in math tasks with an average performance of 80.5%. The model is available through 1 API provider. 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

o1-preview

OpenAI

2024-09-12

Microsoft

Phi 4

Microsoft

2024-12-12

3 months newer

Pricing Comparison

Cost per million tokens (USD)

OpenAI

o1-preview

Input:$15.00
Output:$60.00
Microsoft

Phi 4

$74.79 cheaper
Input:$0.07
Output:$0.14

Performance Metrics

Context window and performance specifications

OpenAI

o1-preview

Larger context
Max Context:160.8K
Microsoft

Phi 4

Max Context:32.0K
Parameters:14.7B

Average performance across 6 common benchmarks

OpenAI

o1-preview

+13.8%
Average Score:72.5%
Microsoft

Phi 4

Average Score:58.8%

Performance comparison across key benchmark categories

OpenAI

o1-preview

math
+7.6%
88.1%
general
58.0%
roleplay
+4.7%
52.3%
Microsoft

Phi 4

math
80.5%
general
+2.2%
60.2%
roleplay
47.6%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Phi 4

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-preview

2 providers

Azure

Throughput: 16 tok/s
Latency: 0.54ms

OpenAI

Throughput: 66 tok/s
Latency: 16.2ms
Microsoft

Phi 4

1 providers

DeepInfra

Throughput: 33 tok/s
Latency: 0.2ms
OpenAI

o1-preview

+13.8%
Avg Score:72.5%
Providers:2
Microsoft

Phi 4

Avg Score:58.8%
Providers:1