DeepSeek R1 Distill Qwen 7B vs Qwen3.5-4B Comparison
Comparing DeepSeek R1 Distill Qwen 7B and Qwen3.5-4B across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Qwen 7B outperforms in 0 benchmarks, while Qwen3.5-4B is better at 1 benchmark (GPQA).
Qwen3.5-4B 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 Distill Qwen 7B has 3.6B more parameters than Qwen3.5-4B, making it 90.5% larger.
Input Capabilities
Supported data types and modalities
Qwen3.5-4B supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 7B does not.
Qwen3.5-4B can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek R1 Distill Qwen 7B
Qwen3.5-4B
License
Usage and distribution terms
DeepSeek R1 Distill Qwen 7B is licensed under MIT, while Qwen3.5-4B 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 7B was released on 2025-01-20, while Qwen3.5-4B was released on 2026-03-02.
Qwen3.5-4B is 14 months newer than DeepSeek R1 Distill Qwen 7B.
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
Qwen3.5-4B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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