+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek R1 Distill Qwen 7B vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Qwen 7B leads with 3.1% higher average benchmark score. Qwen2.5 VL 32B Instruct supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
+
+
+
+
DeepSeek
DeepSeek-R1-Distill-Qwen-7B was developed as a compact distilled model, designed to provide reasoning capabilities in an efficient 7B parameter package. Built to extend analytical AI to a broad range of applications, it balances capability with the practical benefits of a smaller model size.
+
+
+
+
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 R1 Distill Qwen 7B
DeepSeek
2025-01-20
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
+
+
+
+
+
+
+
+
+
+
+
+
Average performance across 1 common benchmarks
+
+
+
+
DeepSeek R1 Distill Qwen 7B
Average Score:49.1%(+3.1%)
+
+
+
+
Qwen2.5 VL 32B Instruct
Average Score:46.0%
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
DeepSeek R1 Distill Qwen 7B
0 providers
+
+
+
+
Qwen2.5 VL 32B Instruct
0 providers
+
+
+
+
DeepSeek R1 Distill Qwen 7B
Avg Score:49.1%(+3.1%)
Providers:0
+
+
+
+
Qwen2.5 VL 32B Instruct
Avg Score:46.0%
Providers:0