DeepSeek R1 Distill Qwen 1.5B vs Qwen3.5-9B Comparison
Comparing DeepSeek R1 Distill Qwen 1.5B and Qwen3.5-9B across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Qwen 1.5B outperforms in 0 benchmarks, while Qwen3.5-9B is better at 1 benchmark (GPQA).
Qwen3.5-9B 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
Qwen3.5-9B has 7.2B more parameters than DeepSeek R1 Distill Qwen 1.5B, making it 405.6% larger.
Input Capabilities
Supported data types and modalities
Qwen3.5-9B supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 1.5B does not.
Qwen3.5-9B can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek R1 Distill Qwen 1.5B
Qwen3.5-9B
License
Usage and distribution terms
DeepSeek R1 Distill Qwen 1.5B is licensed under MIT, while Qwen3.5-9B 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 1.5B was released on 2025-01-20, while Qwen3.5-9B was released on 2026-03-02.
Qwen3.5-9B is 14 months newer than DeepSeek R1 Distill Qwen 1.5B.
Jan 20, 2025
1.1 years ago
Mar 2, 2026
1 weeks ago
1.1yr 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
Qwen3.5-9B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
| Feature | | |
|---|