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.

Alibaba

Qwen2 7B Instruct

Alibaba

Qwen2 7B Instruct is a language model developed by Alibaba. The model shows competitive results across 14 benchmarks. It excels particularly in MT-Bench (84.1%), GSM8k (82.3%), HumanEval (79.9%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Alibaba

Qwen2 7B Instruct

Alibaba

2024-07-23

OpenAI

o1-mini

OpenAI

2024-09-12

1 month newer

Performance Metrics

Context window and performance specifications

OpenAI

o1-mini

Larger context
Max Context:193.5K
Alibaba

Qwen2 7B Instruct

Max Context:-
Parameters:7.6B

Average performance across 3 common benchmarks

OpenAI

o1-mini

+20.6%
Average Score:79.2%
Alibaba

Qwen2 7B Instruct

Average Score:58.6%

Performance comparison across key benchmark categories

OpenAI

o1-mini

code
+28.2%
92.4%
math
+24.0%
90.0%
general
+8.6%
58.0%
Alibaba

Qwen2 7B Instruct

code
64.2%
math
66.0%
general
49.4%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

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
Alibaba

Qwen2 7B Instruct

0 providers
OpenAI

o1-mini

+20.6%
Avg Score:79.2%
Providers:2
Alibaba

Qwen2 7B Instruct

Avg Score:58.6%
Providers:0