+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Phi-3.5-vision-instruct vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 32B Instruct leads with 27.0% higher average benchmark score. Overall, Qwen2.5 VL 32B Instruct is the stronger choice for coding tasks.
+
+
+
+
Microsoft
Phi-3.5 Vision was developed as a multimodal variant of Phi-3.5, designed to understand and reason about both images and text. Built to extend the Phi family's efficiency into vision-language tasks, it enables compact multimodal AI for practical applications.
+
+
+
+
Alibaba Cloud / Qwen Team
Qwen2.5-VL 32B was developed as a mid-sized vision-language model, designed to balance multimodal capability with practical deployment considerations. Built with 32 billion parameters for vision and language integration, it serves applications requiring strong visual understanding without flagship-scale resources.
6 months newer
Phi-3.5-vision-instruct
Microsoft
2024-08-23
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
+
+
+
+
+
+
+
+
+
+
+
+
Average performance across 1 common benchmarks
+
+
+
+
Phi-3.5-vision-instruct
Average Score:43.0%
+
+
+
+
Qwen2.5 VL 32B Instruct
Average Score:70.0%(+27.0%)
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Phi-3.5-vision-instruct
0 providers
+
+
+
+
Qwen2.5 VL 32B Instruct
0 providers
+
+
+
+
Phi-3.5-vision-instruct
Avg Score:43.0%
Providers:0
+
+
+
+
Qwen2.5 VL 32B Instruct
Avg Score:70.0%(+27.0%)
Providers:0