DeepSeek R1 Distill Qwen 14B vs Qwen3 VL 30B A3B Thinking
Qwen3 VL 30B A3B Thinking significantly outperforms across most benchmarks.
DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
DeepSeek R1 Distill Qwen 14B outperforms in 0 benchmarks, while Qwen3 VL 30B A3B Thinking is better at 1 benchmark (GPQA). Qwen3 VL 30B A3B Thinking significantly outperforms across most benchmarks.
Based on current benchmark, pricing, and model metadata for 2026.
Choose DeepSeek R1 Distill Qwen 14B
- you are already invested in the DeepSeek ecosystem
Choose Qwen3 VL 30B A3B Thinking
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- you want the most recent training data — it shipped Sep 2025
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Qwen 14B outperforms in 0 benchmarks, while Qwen3 VL 30B A3B Thinking is better at 1 benchmark (GPQA).
Qwen3 VL 30B A3B Thinking significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Model Size
Parameter count comparison
Qwen3 VL 30B A3B Thinking has 16.2B more parameters than DeepSeek R1 Distill Qwen 14B, making it 109.5% larger.
Context Window
Maximum input and output token capacity
Only Qwen3 VL 30B A3B Thinking specifies input context (131,072 tokens). Only Qwen3 VL 30B A3B Thinking specifies output context (32,768 tokens).
Input Capabilities
Supported data types and modalities
Qwen3 VL 30B A3B Thinking supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 14B does not.
Qwen3 VL 30B A3B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek R1 Distill Qwen 14B
Qwen3 VL 30B A3B Thinking
License
Usage and distribution terms
DeepSeek R1 Distill Qwen 14B is licensed under MIT, while Qwen3 VL 30B A3B Thinking 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 30B A3B Thinking was released on 2025-09-22.
Qwen3 VL 30B A3B Thinking is 8 months newer than DeepSeek R1 Distill Qwen 14B.
Jan 20, 2025
1.6 years ago
Sep 22, 2025
11 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
Judge for yourself.
Run your own prompts against DeepSeek R1 Distill Qwen 14B and Qwen3 VL 30B A3B Thinking side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek R1 Distill Qwen 14B vs Qwen3 VL 30B A3B Thinking.