Model Comparison
DeepSeek R1 Distill Qwen 1.5B vs o1-mini
o1-mini significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Qwen 1.5B outperforms in 0 benchmarks, while o1-mini is better at 2 benchmarks (GPQA, MATH-500).
o1-mini significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Context Window
Maximum input and output token capacity
Only o1-mini specifies input context (128,000 tokens). Only o1-mini specifies output context (65,536 tokens).
License
Usage and distribution terms
DeepSeek R1 Distill Qwen 1.5B is licensed under MIT, while o1-mini uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek R1 Distill Qwen 1.5B was released on 2025-01-20, while o1-mini was released on 2024-09-12.
DeepSeek R1 Distill Qwen 1.5B is 4 months newer than o1-mini.
Jan 20, 2025
1.3 years ago
4mo newerSep 12, 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
o1-mini
View detailsOpenAI
Detailed Comparison
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FAQ
Common questions about DeepSeek R1 Distill Qwen 1.5B vs o1-mini.