Model Comparison
o3-mini vs DeepSeek R1 Distill Qwen 1.5B
o3-mini significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
o3-mini outperforms in 2 benchmarks (AIME 2024, GPQA), while DeepSeek R1 Distill Qwen 1.5B is better at 0 benchmarks.
o3-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 o3-mini specifies input context (200,000 tokens). Only o3-mini specifies output context (100,000 tokens).
License
Usage and distribution terms
o3-mini is licensed under a proprietary license, while DeepSeek R1 Distill Qwen 1.5B uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
o3-mini was released on 2025-01-30, while DeepSeek R1 Distill Qwen 1.5B was released on 2025-01-20.
o3-mini is 0 month newer than DeepSeek R1 Distill Qwen 1.5B.
Jan 30, 2025
1.2 years ago
1w newerJan 20, 2025
1.2 years ago
Knowledge Cutoff
When training data ends
o3-mini has a documented knowledge cutoff of 2023-09-30, while DeepSeek R1 Distill Qwen 1.5B's cutoff date is not specified.
We can confirm o3-mini's training data extends to 2023-09-30, but cannot make a direct comparison without DeepSeek R1 Distill Qwen 1.5B's cutoff date.
Sep 2023
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Outputs Comparison
Key Takeaways
o3-mini
View detailsOpenAI
Detailed Comparison
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FAQ
Common questions about o3-mini vs DeepSeek R1 Distill Qwen 1.5B