Model Comparison
DeepSeek-R1-0528 vs DeepSeek R1 Distill Qwen 1.5B
DeepSeek-R1-0528 significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-R1-0528 outperforms in 3 benchmarks (AIME 2024, GPQA, LiveCodeBench), while DeepSeek R1 Distill Qwen 1.5B is better at 0 benchmarks.
DeepSeek-R1-0528 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-R1-0528 has 669.2B more parameters than DeepSeek R1 Distill Qwen 1.5B, making it 37596.6% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek-R1-0528 specifies input context (131,072 tokens). Only DeepSeek-R1-0528 specifies output context (131,072 tokens).
License
Usage and distribution terms
Both models are licensed under MIT.
Both models share the same licensing terms, providing consistent usage rights.
MIT
Open weights
MIT
Open weights
Release Timeline
When each model was launched
DeepSeek-R1-0528 was released on 2025-05-28, while DeepSeek R1 Distill Qwen 1.5B was released on 2025-01-20.
DeepSeek-R1-0528 is 4 months newer than DeepSeek R1 Distill Qwen 1.5B.
May 28, 2025
10 months ago
4mo newerJan 20, 2025
1.2 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
DeepSeek-R1-0528
View detailsDeepSeek
Detailed Comparison
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FAQ
Common questions about DeepSeek-R1-0528 vs DeepSeek R1 Distill Qwen 1.5B