+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek R1 Zero vs Qwen2.5 VL 72B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 72B Instruct leads with 50.0% higher average benchmark score. Qwen2.5 VL 72B Instruct supports multimodal inputs. Overall, Qwen2.5 VL 72B Instruct is the stronger choice for coding tasks.
+
+
+
+
DeepSeek
DeepSeek R1 Zero is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.5% across 4 benchmarks. It excels particularly in MATH-500 (95.9%), AIME 2024 (86.7%), GPQA (73.3%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
+
+
+
+
Alibaba Cloud / Qwen Team
Qwen2.5 VL 72B Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 66.9% across 30 benchmarks. It excels particularly in DocVQA (96.4%), Android Control Low_EM (93.7%), ChartQA (89.5%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
6 days newer
DeepSeek R1 Zero
DeepSeek
2025-01-20
Qwen2.5 VL 72B Instruct
Alibaba Cloud / Qwen Team
2025-01-26
Average performance across 34 common benchmarks
+
+
+
+
DeepSeek R1 Zero
Average Score:9.0%
+
+
+
+
Qwen2.5 VL 72B Instruct
Average Score:59.0%(+50.0%)
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
DeepSeek R1 Zero
0 providers
+
+
+
+
Qwen2.5 VL 72B Instruct
0 providers
+
+
+
+
DeepSeek R1 Zero
Avg Score:9.0%
Providers:0
+
+
+
+
Qwen2.5 VL 72B Instruct
Avg Score:59.0%(+50.0%)
Providers:0