DeepSeek R1 Distill Qwen 1.5B vs o1-mini Comparison
Comparing DeepSeek R1 Distill Qwen 1.5B and o1-mini across benchmarks, pricing, and capabilities.
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
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
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
1.2 years ago
4mo newerSep 12, 2024
1.5 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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