Model Comparison

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

Gemma 2 27B

Google

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 7B Instruct

Alibaba

Qwen2.5-Coder 7B Instruct is a language model developed by Alibaba. The model shows competitive results across 19 benchmarks. It excels particularly in HumanEval (88.4%), GSM8k (83.9%), MBPP (83.5%). 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

Google

2024-06-27

Qwen2.5-Coder 7B Instruct

Alibaba

2024-09-19

2 months newer

Average performance across 8 common benchmarks

Gemma 2 27B

Average Score:68.4%

Qwen2.5-Coder 7B Instruct

+4.2%

Average Score:72.6%

Performance comparison across key benchmark categories

Gemma 2 27B

reasoning

+12.3%

82.5%

general

+17.7%

70.0%

math

58.1%

code

56.5%

Qwen2.5-Coder 7B Instruct

reasoning

70.2%

general

52.3%

math

+7.1%

65.3%

code

+0.8%

57.3%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Gemma 2 27B

0 providers

Qwen2.5-Coder 7B Instruct

0 providers

Gemma 2 27B

Avg Score:68.4%

Providers:0

Qwen2.5-Coder 7B Instruct

+4.2%

Avg Score:72.6%

Providers:0