Model Comparison
DeepSeek R1 Distill Qwen 14B vs Qwen2.5 VL 32B Instruct
DeepSeek R1 Distill Qwen 14B significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Qwen 14B outperforms in 1 benchmarks (GPQA), while Qwen2.5 VL 32B Instruct is better at 0 benchmarks.
DeepSeek R1 Distill Qwen 14B 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
Qwen2.5 VL 32B Instruct has 18.7B more parameters than DeepSeek R1 Distill Qwen 14B, making it 126.4% larger.
Input Capabilities
Supported data types and modalities
Qwen2.5 VL 32B Instruct supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 14B 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 Distill Qwen 14B
Qwen2.5 VL 32B Instruct
License
Usage and distribution terms
DeepSeek R1 Distill Qwen 14B 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 Distill Qwen 14B 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 Distill Qwen 14B.
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
Qwen2.5 VL 32B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about DeepSeek R1 Distill Qwen 14B vs Qwen2.5 VL 32B Instruct