Model Comparison
DeepSeek R1 Distill Qwen 14B vs Qwen3 VL 32B Instruct
Qwen3 VL 32B Instruct significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Qwen 14B outperforms in 0 benchmarks, while Qwen3 VL 32B Instruct is better at 1 benchmark (GPQA).
Qwen3 VL 32B Instruct significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
Qwen3 VL 32B Instruct has 18.2B more parameters than DeepSeek R1 Distill Qwen 14B, making it 123.0% larger.
Input Capabilities
Supported data types and modalities
Qwen3 VL 32B Instruct supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 14B does not.
Qwen3 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
Qwen3 VL 32B Instruct
License
Usage and distribution terms
DeepSeek R1 Distill Qwen 14B is licensed under MIT, while Qwen3 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 Qwen3 VL 32B Instruct was released on 2025-09-22.
Qwen3 VL 32B Instruct is 8 months newer than DeepSeek R1 Distill Qwen 14B.
Jan 20, 2025
1.3 years ago
Sep 22, 2025
7 months ago
8mo 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
No standout differentiators in the data we have for this pair.
Qwen3 VL 32B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about DeepSeek R1 Distill Qwen 14B vs Qwen3 VL 32B Instruct.