Model Comparison

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

Google

Gemini Diffusion

Google

Gemini Diffusion is a language model developed by Google. The model shows competitive results across 10 benchmarks. It excels particularly in HumanEval (89.6%), MBPP (76.0%), Global-MMLU-Lite (69.1%). Released in 2025, it represents Google's latest advancement in AI technology.

Alibaba

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.

Alibaba

Qwen2.5 VL 32B Instruct

Alibaba

2025-02-28

Google

Gemini Diffusion

Google

2025-05-20

2 months newer

Average performance across 3 common benchmarks

Google

Gemini Diffusion

Average Score:68.7%
Alibaba

Qwen2.5 VL 32B Instruct

+5.2%
Average Score:73.8%

Performance comparison across key benchmark categories

Google

Gemini Diffusion

code
60.5%
general
37.9%
Alibaba

Qwen2.5 VL 32B Instruct

code
+27.3%
87.8%
general
+22.2%
60.1%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemini Diffusion

0 providers
Alibaba

Qwen2.5 VL 32B Instruct

0 providers
Google

Gemini Diffusion

Avg Score:68.7%
Providers:0
Alibaba

Qwen2.5 VL 32B Instruct

+5.2%
Avg Score:73.8%
Providers:0