Model Comparison

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

Google

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.

Alibaba

Qwen2 72B Instruct

Alibaba

Qwen2 72B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 73.6% across 17 benchmarks. It excels particularly in GSM8k (91.1%), CMMLU (90.1%), HellaSwag (87.6%). The model shows particular specialization in code tasks with an average performance of 82.3%. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Google

Gemma 2 27B

Google

2024-06-27

Alibaba

Qwen2 72B Instruct

Alibaba

2024-07-23

26 days newer

Average performance across 8 common benchmarks

Google

Gemma 2 27B

Average Score:68.4%
Alibaba

Qwen2 72B Instruct

+11.7%
Average Score:80.1%

Performance comparison across key benchmark categories

Google

Gemma 2 27B

reasoning
+2.0%
82.5%
code
56.5%
math
58.1%
general
+2.1%
70.0%
Alibaba

Qwen2 72B Instruct

reasoning
80.5%
code
+25.8%
82.3%
math
+17.3%
75.4%
general
67.9%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemma 2 27B

0 providers
Alibaba

Qwen2 72B Instruct

0 providers
Google

Gemma 2 27B

Avg Score:68.4%
Providers:0
Alibaba

Qwen2 72B Instruct

+11.7%
Avg Score:80.1%
Providers:0