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

Qwen2.5 14B Instruct
Alibaba
Qwen2.5 14B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 70.0% across 16 benchmarks. It excels particularly in GSM8k (94.8%), HumanEval (83.5%), MBPP (82.0%). The model shows particular specialization in math tasks with an average performance of 87.4%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

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.

Qwen2.5 14B Instruct
Alibaba
2024-09-19

Qwen2.5 7B Instruct
Alibaba
2024-09-19
0 days newer
Performance Metrics
Context window and performance specifications

Qwen2.5 14B Instruct

Qwen2.5 7B Instruct
Average performance across 8 common benchmarks

Qwen2.5 14B Instruct

Qwen2.5 7B Instruct
Performance comparison across key benchmark categories

Qwen2.5 14B Instruct

Qwen2.5 7B Instruct
Provider Availability & Performance
Available providers and their performance metrics

Qwen2.5 14B Instruct

Qwen2.5 7B Instruct
Together

Qwen2.5 14B Instruct

Qwen2.5 7B Instruct