Model Comparison

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

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.

Qwen2.5-Coder 7B Instruct

Alibaba

Qwen2.5-Coder 7B Instruct is a language model developed by Alibaba. The model shows competitive results across 19 benchmarks. It excels particularly in HumanEval (88.4%), GSM8k (83.9%), MBPP (83.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

o1-mini

OpenAI

2024-09-12

Qwen2.5-Coder 7B Instruct

Alibaba

2024-09-19

7 days newer

Performance Metrics

Context window and performance specifications

o1-mini

Larger context

Max Context:193.5K

Qwen2.5-Coder 7B Instruct

Max Context:-

Parameters:7.0B

Average performance across 2 common benchmarks

o1-mini

+10.8%

Average Score:88.8%

Qwen2.5-Coder 7B Instruct

Average Score:78.0%

Performance comparison across key benchmark categories

o1-mini

code

+35.1%

92.4%

math

+24.8%

90.0%

general

+5.7%

58.0%

Qwen2.5-Coder 7B Instruct

code

57.3%

math

65.3%

general

52.3%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

o1-mini

2 providers

Azure

Throughput: 100 tok/s

Latency: 0.5ms

OpenAI

Throughput: 115 tok/s

Latency: 5.2ms

Qwen2.5-Coder 7B Instruct

0 providers

o1-mini

+10.8%

Avg Score:88.8%

Providers:2

Qwen2.5-Coder 7B Instruct

Avg Score:78.0%

Providers:0