Model Comparison
DeepSeek R1 Zero vs DeepSeek-R1-0528
DeepSeek-R1-0528 significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Zero outperforms in 0 benchmarks, while DeepSeek-R1-0528 is better at 3 benchmarks (AIME 2024, GPQA, LiveCodeBench).
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 0.0B more parameters than DeepSeek R1 Zero, making it 0.0% 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 Zero was released on 2025-01-20, while DeepSeek-R1-0528 was released on 2025-05-28.
DeepSeek-R1-0528 is 4 months newer than DeepSeek R1 Zero.
Jan 20, 2025
1.2 years ago
May 28, 2025
10 months ago
4mo newerKnowledge 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 Zero
View detailsDeepSeek
DeepSeek-R1-0528
View detailsDeepSeek
Detailed Comparison
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FAQ
Common questions about DeepSeek R1 Zero vs DeepSeek-R1-0528