DeepSeek R1 Zero vs Qwen2.5 VL 32B Instruct Comparison
Comparing DeepSeek R1 Zero and Qwen2.5 VL 32B Instruct across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Zero outperforms in 1 benchmarks (GPQA), while Qwen2.5 VL 32B Instruct is better at 0 benchmarks.
DeepSeek R1 Zero significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
DeepSeek R1 Zero has 637.5B more parameters than Qwen2.5 VL 32B Instruct, making it 1903.0% larger.
Input Capabilities
Supported data types and modalities
Qwen2.5 VL 32B Instruct supports multimodal inputs, whereas DeepSeek R1 Zero does not.
Qwen2.5 VL 32B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek R1 Zero
Qwen2.5 VL 32B Instruct
License
Usage and distribution terms
DeepSeek R1 Zero is licensed under MIT, while Qwen2.5 VL 32B Instruct uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
DeepSeek R1 Zero was released on 2025-01-20, while Qwen2.5 VL 32B Instruct was released on 2025-02-28.
Qwen2.5 VL 32B Instruct is 1 month newer than DeepSeek R1 Zero.
Jan 20, 2025
1.2 years ago
Feb 28, 2025
1.1 years ago
1mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Key Takeaways
DeepSeek R1 Zero
View detailsDeepSeek
Qwen2.5 VL 32B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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