+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek VL2 Small vs Qwen2.5 VL 7B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 7B Instruct leads with 4.4% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
+
+
+
+
DeepSeek
DeepSeek-VL2-Small was created as a compact vision-language variant, designed to bring multimodal capabilities to applications with limited computational resources. Built to provide visual and textual understanding in a more efficient package, it serves use cases requiring practical deployment of vision-language AI.
+
+
+
+
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.
1 month newer
DeepSeek VL2 Small
DeepSeek
2024-12-13
Qwen2.5 VL 7B Instruct
Alibaba Cloud / Qwen Team
2025-01-26
+
+
+
+
+
+
+
+
+
+
+
+
Average performance across 9 common benchmarks
+
+
+
+
DeepSeek VL2 Small
Average Score:74.2%
+
+
+
+
Qwen2.5 VL 7B Instruct
Average Score:78.6%(+4.4%)
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
DeepSeek VL2 Small
0 providers
+
+
+
+
Qwen2.5 VL 7B Instruct
0 providers
+
+
+
+
DeepSeek VL2 Small
Avg Score:74.2%
Providers:0
+
+
+
+
Qwen2.5 VL 7B Instruct
Avg Score:78.6%(+4.4%)
Providers:0