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

Qwen3-235B-A22B-Instruct-2507

Alibaba

Qwen3-235B-A22B-Instruct-2507 is a language model developed by Alibaba. It achieves strong performance with an average score of 72.1% across 25 benchmarks. It excels particularly in ZebraLogic (95.0%), MMLU-Redux (93.1%), IFEval (88.7%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Google

Gemma 2 27B

Google

2024-06-27

Alibaba

Qwen3-235B-A22B-Instruct-2507

Alibaba

2025-07-22

1 year newer

Performance comparison across key benchmark categories

Google

Gemma 2 27B

reasoning
+14.1%
82.5%
general
70.0%
code
56.5%
math
+7.9%
58.1%
Alibaba

Qwen3-235B-A22B-Instruct-2507

reasoning
68.4%
general
+3.7%
73.7%
code
+13.8%
70.3%
math
50.2%

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemma 2 27B

0 providers
Alibaba

Qwen3-235B-A22B-Instruct-2507

0 providers
Google

Gemma 2 27B

Avg Score:0.0%
Providers:0
Alibaba

Qwen3-235B-A22B-Instruct-2507

Avg Score:0.0%
Providers:0