Model Comparison

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

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

QwQ-32B

Alibaba

QwQ-32B is a language model developed by Alibaba. It achieves strong performance with an average score of 74.6% across 7 benchmarks. It excels particularly in MATH-500 (90.6%), IFEval (83.9%), AIME 2024 (79.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Alibaba

Qwen2 7B Instruct

Alibaba

2024-07-23

Alibaba

QwQ-32B

Alibaba

2025-03-05

7 months newer

Average performance across 2 common benchmarks

Alibaba

Qwen2 7B Instruct

Average Score:25.9%
Alibaba

QwQ-32B

+38.3%
Average Score:64.3%

Performance comparison across key benchmark categories

Alibaba

Qwen2 7B Instruct

math
66.0%
roleplay
+11.0%
84.1%
code
64.2%
general
49.4%
Alibaba

QwQ-32B

math
+24.7%
90.6%
roleplay
73.1%
code
+9.4%
73.6%
general
+21.0%
70.4%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

QwQ-32B

2024-11-28

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Alibaba

Qwen2 7B Instruct

0 providers
Alibaba

QwQ-32B

0 providers
Alibaba

Qwen2 7B Instruct

Avg Score:25.9%
Providers:0
Alibaba

QwQ-32B

+38.3%
Avg Score:64.3%
Providers:0