+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek-V3.1 vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 21.9% higher average benchmark score. Qwen2.5 VL 32B Instruct supports multimodal inputs. DeepSeek-V3.1 is available on 2 providers. Overall, DeepSeek-V3.1 is the stronger choice for coding tasks.
+
+
+
+
DeepSeek
DeepSeek-V3.1 was developed as an incremental advancement over DeepSeek-V3, designed to refine the mixture-of-experts architecture with improved training techniques. Built to enhance quality and efficiency while maintaining the open-source philosophy, it represents continued iteration on DeepSeek's flagship model line.
+
+
+
+
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.
1 month newer
DeepSeek-V3.1
DeepSeek
2025-01-10
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
+
+
+
+
DeepSeek-V3.1
Average Score:79.3%(+21.9%)
+
+
+
+
Qwen2.5 VL 32B Instruct
Average Score:57.4%
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
DeepSeek-V3.1
2 providers
DeepInfra
Novita
+
+
+
+
Qwen2.5 VL 32B Instruct
+
+
+
+
DeepSeek-V3.1
Avg Score:79.3%(+21.9%)
Providers:2
+
+
+
+
Qwen2.5 VL 32B Instruct
Avg Score:57.4%
Providers:0