Model Comparison
DeepSeek-R1 vs Phi 4 Reasoning Plus
Comparing DeepSeek-R1 and Phi 4 Reasoning Plus across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-R1 and Phi 4 Reasoning Plus don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
DeepSeek-R1 has 657.0B more parameters than Phi 4 Reasoning Plus, making it 4692.9% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek-R1 specifies input context (131,072 tokens). Only DeepSeek-R1 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 was released on 2025-01-20, while Phi 4 Reasoning Plus was released on 2025-04-30.
Phi 4 Reasoning Plus is 3 months newer than DeepSeek-R1.
Jan 20, 2025
1.2 years ago
Apr 30, 2025
11 months ago
3mo newerKnowledge Cutoff
When training data ends
Phi 4 Reasoning Plus has a documented knowledge cutoff of 2025-03-01, while DeepSeek-R1's cutoff date is not specified.
We can confirm Phi 4 Reasoning Plus's training data extends to 2025-03-01, but cannot make a direct comparison without DeepSeek-R1's cutoff date.
—
Mar 2025
Outputs Comparison
Key Takeaways
DeepSeek-R1
View detailsDeepSeek
Phi 4 Reasoning Plus
View detailsMicrosoft
Detailed Comparison
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FAQ
Common questions about DeepSeek-R1 vs Phi 4 Reasoning Plus