+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Qwen2.5 VL 32B Instruct vs Qwen2.5-Omni-7B
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 32B Instruct leads with 10.8% higher average benchmark score. Overall, Qwen2.5 VL 32B Instruct is the stronger choice for coding tasks.
+
+
+
+
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.
+
+
+
+
Alibaba Cloud / Qwen Team
Qwen2.5-Omni 7B was created as a multimodal model supporting text, audio, and other modalities, designed to provide integrated understanding across diverse input types. Built with 7 billion parameters for efficient omni-modal processing, it extends AI capabilities beyond traditional text-only or vision-language boundaries.
27 days newer
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
+
+
+
+
+
+
+
+
+
+
+
+
Average performance across 11 common benchmarks
+
+
+
+
Qwen2.5 VL 32B Instruct
Average Score:70.2%(+10.8%)
+
+
+
+
Qwen2.5-Omni-7B
Average Score:59.4%
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Qwen2.5 VL 32B Instruct
0 providers
+
+
+
+
Qwen2.5-Omni-7B
0 providers
+
+
+
+
Qwen2.5 VL 32B Instruct
Avg Score:70.2%(+10.8%)
Providers:0
+
+
+
+
Qwen2.5-Omni-7B
Avg Score:59.4%
Providers:0