+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Qwen2.5 VL 72B Instruct vs Qwen2.5 VL 7B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 72B Instruct leads with 4.2% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
+
+
+
+
Alibaba Cloud / Qwen Team
Qwen2.5-VL 72B was created as the flagship vision-language model in the Qwen 2.5 series, designed to provide advanced multimodal understanding. Built with 72 billion parameters optimized for visual and textual reasoning, it represents Qwen's most capable offering for tasks requiring integrated image and language processing.
+
+
+
+
Alibaba Cloud / Qwen Team
Qwen2.5-VL 7B was developed as an efficient vision-language model, designed to provide multimodal understanding with minimal computational requirements. Built with 7 billion parameters for integrated visual and textual processing, it serves applications requiring practical vision-language capabilities with constrained resources.
Launched on the same date
Qwen2.5 VL 72B Instruct
Alibaba Cloud / Qwen Team
2025-01-26
Qwen2.5 VL 7B Instruct
Alibaba Cloud / Qwen Team
2025-01-26
+
+
+
+
+
+
+
+
+
+
+
+
Average performance across 25 common benchmarks
+
+
+
+
Qwen2.5 VL 72B Instruct
Average Score:67.9%(+4.2%)
+
+
+
+
Qwen2.5 VL 7B Instruct
Average Score:63.7%
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Qwen2.5 VL 72B Instruct
0 providers
+
+
+
+
Qwen2.5 VL 7B Instruct
0 providers
+
+
+
+
Qwen2.5 VL 72B Instruct
Avg Score:67.9%(+4.2%)
Providers:0
+
+
+
+
Qwen2.5 VL 7B Instruct
Avg Score:63.7%
Providers:0