Model Comparison
DeepSeek-R1-0528 vs Phi 4 Mini Reasoning
DeepSeek-R1-0528 significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-R1-0528 outperforms in 1 benchmarks (GPQA), while Phi 4 Mini Reasoning is better at 0 benchmarks.
DeepSeek-R1-0528 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
DeepSeek-R1-0528 has 667.2B more parameters than Phi 4 Mini Reasoning, making it 17557.9% 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 Phi 4 Mini Reasoning was released on 2025-04-30.
DeepSeek-R1-0528 is 1 month newer than Phi 4 Mini Reasoning.
May 28, 2025
1.0 years ago
4w newerApr 30, 2025
1.1 years ago
Knowledge Cutoff
When training data ends
Phi 4 Mini Reasoning has a documented knowledge cutoff of 2025-02-01, while DeepSeek-R1-0528's cutoff date is not specified.
We can confirm Phi 4 Mini Reasoning's training data extends to 2025-02-01, but cannot make a direct comparison without DeepSeek-R1-0528's cutoff date.
—
Feb 2025
Outputs Comparison
Key Takeaways
DeepSeek-R1-0528
View detailsDeepSeek
Phi 4 Mini Reasoning
View detailsMicrosoft
No standout differentiators in the data we have for this pair.
Detailed Comparison
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FAQ
Common questions about DeepSeek-R1-0528 vs Phi 4 Mini Reasoning.