Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Gemma 2 27B
Gemma 2 27B is a language model developed by Google. It achieves strong performance with an average score of 69.1% across 16 benchmarks. It excels particularly in ARC-E (88.6%), HellaSwag (86.4%), BoolQ (84.8%). The model shows particular specialization in reasoning tasks with an average performance of 82.5%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google'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.
Gemma 2 27B
2024-06-27
Qwen2.5-Coder 32B Instruct
Alibaba
2024-09-19
2 months newer
Performance Metrics
Context window and performance specifications
Gemma 2 27B
Qwen2.5-Coder 32B Instruct
Average performance across 8 common benchmarks
Gemma 2 27B
Qwen2.5-Coder 32B Instruct
Performance comparison across key benchmark categories
Gemma 2 27B
Qwen2.5-Coder 32B Instruct
Provider Availability & Performance
Available providers and their performance metrics
Gemma 2 27B
Qwen2.5-Coder 32B Instruct
Hyperbolic
DeepInfra
Fireworks
Lambda
Gemma 2 27B
Qwen2.5-Coder 32B Instruct