Model Comparison
DeepSeek R1 Distill Qwen 32B vs Phi 4 Reasoning
DeepSeek R1 Distill Qwen 32B shows notably better performance in the majority of benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Qwen 32B outperforms in 2 benchmarks (AIME 2024, LiveCodeBench), while Phi 4 Reasoning is better at 1 benchmark (GPQA).
DeepSeek R1 Distill Qwen 32B shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
DeepSeek R1 Distill Qwen 32B has 18.8B more parameters than Phi 4 Reasoning, making it 134.3% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek R1 Distill Qwen 32B specifies input context (128,000 tokens). Only DeepSeek R1 Distill Qwen 32B specifies output context (128,000 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 Distill Qwen 32B was released on 2025-01-20, while Phi 4 Reasoning was released on 2025-04-30.
Phi 4 Reasoning is 3 months newer than DeepSeek R1 Distill Qwen 32B.
Jan 20, 2025
1.2 years ago
Apr 30, 2025
11 months ago
3mo newerKnowledge Cutoff
When training data ends
Phi 4 Reasoning has a documented knowledge cutoff of 2025-03-01, while DeepSeek R1 Distill Qwen 32B's cutoff date is not specified.
We can confirm Phi 4 Reasoning's training data extends to 2025-03-01, but cannot make a direct comparison without DeepSeek R1 Distill Qwen 32B's cutoff date.
—
Mar 2025
Outputs Comparison
Key Takeaways
Phi 4 Reasoning
View detailsMicrosoft
Detailed Comparison
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FAQ
Common questions about DeepSeek R1 Distill Qwen 32B vs Phi 4 Reasoning