Model Comparison
DeepSeek R1 Distill Qwen 1.5B vs Qwen2.5 7B Instruct
Qwen2.5 7B Instruct significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Qwen 1.5B outperforms in 0 benchmarks, while Qwen2.5 7B Instruct is better at 2 benchmarks (GPQA, LiveCodeBench).
Qwen2.5 7B Instruct significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
Qwen2.5 7B Instruct has 5.8B more parameters than DeepSeek R1 Distill Qwen 1.5B, making it 327.5% larger.
Context Window
Maximum input and output token capacity
Only Qwen2.5 7B Instruct specifies input context (131,072 tokens). Only Qwen2.5 7B Instruct specifies output context (8,192 tokens).
License
Usage and distribution terms
DeepSeek R1 Distill Qwen 1.5B is licensed under MIT, while Qwen2.5 7B 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 1.5B was released on 2025-01-20, while Qwen2.5 7B Instruct was released on 2024-09-19.
DeepSeek R1 Distill Qwen 1.5B is 4 months newer than Qwen2.5 7B Instruct.
Jan 20, 2025
1.3 years ago
4mo newerSep 19, 2024
1.6 years ago
Knowledge 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.
Qwen2.5 7B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
| Feature | | |
|---|
FAQ
Common questions about DeepSeek R1 Distill Qwen 1.5B vs Qwen2.5 7B Instruct.