Model Comparison

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

Gemma 2 9B

Google

Gemma 2 9B is a language model developed by Google. It achieves strong performance with an average score of 64.6% across 16 benchmarks. It excels particularly in ARC-E (88.0%), BoolQ (84.2%), HellaSwag (81.9%). The model shows particular specialization in reasoning tasks with an average performance of 79.7%. 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 VL 32B Instruct

Alibaba

Qwen2.5 VL 32B Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 63.6% across 28 benchmarks. It excels particularly in DocVQA (94.8%), Android Control Low_EM (93.3%), HumanEval (91.5%). The model shows particular specialization in code tasks with an average performance of 87.8%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Gemma 2 9B

Google

2024-06-27

Qwen2.5 VL 32B Instruct

Alibaba

2025-02-28

8 months newer

Average performance across 4 common benchmarks

Gemma 2 9B

Average Score:50.1%

Qwen2.5 VL 32B Instruct

+33.9%

Average Score:84.0%

Performance comparison across key benchmark categories

Gemma 2 9B

code

48.5%

general

+6.3%

66.4%

math

52.6%

Qwen2.5 VL 32B Instruct

code

+39.3%

87.8%

general

60.1%

math

+12.5%

65.1%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Gemma 2 9B

0 providers

Qwen2.5 VL 32B Instruct

0 providers

Gemma 2 9B

Avg Score:50.1%

Providers:0

Qwen2.5 VL 32B Instruct

+33.9%

Avg Score:84.0%

Providers:0