Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Qwen2.5 7B Instruct
Alibaba
Qwen2.5 7B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 65.6% across 14 benchmarks. It excels particularly in GSM8k (91.6%), MT-Bench (87.5%), HumanEval (84.8%). The model shows particular specialization in math tasks with an average performance of 83.5%. It supports a 139K token context window for handling large documents. 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 Alibaba's latest advancement in AI technology.
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.
Qwen2.5 7B Instruct
Alibaba
2024-09-19
QwQ-32B
Alibaba
2025-03-05
5 months newer
Performance Metrics
Context window and performance specifications
Qwen2.5 7B Instruct
QwQ-32B
Average performance across 4 common benchmarks
Qwen2.5 7B Instruct
QwQ-32B
Performance comparison across key benchmark categories
Qwen2.5 7B Instruct
QwQ-32B
QwQ-32B
2024-11-28
Provider Availability & Performance
Available providers and their performance metrics
Qwen2.5 7B Instruct
Together
QwQ-32B
Qwen2.5 7B Instruct
QwQ-32B