Model Comparison

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

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.

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.

Phi-3.5-MoE-instruct

Microsoft

2024-08-23

OpenAI

2024-12-17

3 months newer

Performance Metrics

Context window and performance specifications

Larger context

Max Context:300.0K

Phi-3.5-MoE-instruct

Max Context:-

Parameters:60.0B

Average performance across 7 common benchmarks

+23.6%

Average Score:89.8%

Phi-3.5-MoE-instruct

Average Score:66.2%

Performance comparison across key benchmark categories

code

+12.3%

88.1%

math

+3.1%

72.0%

general

+10.9%

71.8%

Phi-3.5-MoE-instruct

code

75.8%

math

69.0%

general

60.9%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

2 providers

Azure

Throughput: 16 tok/s

Latency: 0.54ms

OpenAI

Throughput: 66 tok/s

Latency: 16.2ms

Phi-3.5-MoE-instruct

0 providers

+23.6%

Avg Score:89.8%

Providers:2

Phi-3.5-MoE-instruct

Avg Score:66.2%

Providers:0