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-Coder 32B Instruct
Alibaba
Qwen2.5-Coder 32B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 64.9% across 15 benchmarks. It excels particularly in HumanEval (92.7%), GSM8k (91.1%), MBPP (90.2%). The model shows particular specialization in reasoning tasks with an average performance of 78.1%. It supports a 256K token context window for handling large documents. The model is available through 4 API providers. 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-Coder 32B Instruct
Alibaba
2024-09-19
0 days newer
Performance Metrics
Context window and performance specifications
Qwen2.5 14B Instruct
Qwen2.5-Coder 32B Instruct
Average performance across 10 common benchmarks
Qwen2.5 14B Instruct
Qwen2.5-Coder 32B Instruct
Performance comparison across key benchmark categories
Qwen2.5 14B Instruct
Qwen2.5-Coder 32B Instruct
Provider Availability & Performance
Available providers and their performance metrics
Qwen2.5 14B Instruct
Qwen2.5-Coder 32B Instruct
Hyperbolic
DeepInfra
Fireworks
Lambda
Qwen2.5 14B Instruct
Qwen2.5-Coder 32B Instruct