+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Qwen2-VL-72B-Instruct vs Qwen2.5 VL 72B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 72B Instruct leads with 1.0% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
+
+
+
+
Alibaba Cloud / Qwen Team
Qwen2-VL 72B was developed as a large vision-language model, designed to handle multimodal tasks combining visual and textual understanding. Built with 72 billion parameters for integrated vision and language processing, it enables applications requiring sophisticated analysis of images alongside text.
+
+
+
+
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.
5 months newer
Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
2024-08-29
Qwen2.5 VL 72B Instruct
Alibaba Cloud / Qwen Team
2025-01-26
+
+
+
+
+
+
+
+
+
+
+
+
Average performance across 6 common benchmarks
+
+
+
+
Qwen2-VL-72B-Instruct
Average Score:74.0%
+
+
+
+
Qwen2.5 VL 72B Instruct
Average Score:75.1%(+1.0%)
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Qwen2-VL-72B-Instruct
2023-06-30
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Qwen2-VL-72B-Instruct
0 providers
+
+
+
+
Qwen2.5 VL 72B Instruct
0 providers
+
+
+
+
Qwen2-VL-72B-Instruct
Avg Score:74.0%
Providers:0
+
+
+
+
Qwen2.5 VL 72B Instruct
Avg Score:75.1%(+1.0%)
Providers:0