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 32B Instruct
Alibaba
Qwen2.5 32B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 74.3% across 18 benchmarks. It excels particularly in GSM8k (95.9%), HumanEval (88.4%), HellaSwag (85.2%). The model shows particular specialization in math tasks with an average performance of 89.5%. 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 32B Instruct
Alibaba
2024-09-19
2 months newer
Average performance across 8 common benchmarks

Gemma 2 27B

Qwen2.5 32B Instruct
Performance comparison across key benchmark categories

Gemma 2 27B

Qwen2.5 32B Instruct
Provider Availability & Performance
Available providers and their performance metrics

Gemma 2 27B

Qwen2.5 32B Instruct

Gemma 2 27B

Qwen2.5 32B Instruct