DeepSeek R1 Distill Qwen 32B vs Phi 4 Mini Reasoning Comparison
Comparing DeepSeek R1 Distill Qwen 32B and Phi 4 Mini Reasoning across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Qwen 32B outperforms in 1 benchmarks (GPQA), while Phi 4 Mini Reasoning is better at 1 benchmark (MATH-500).
Both models are evenly matched across the 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 29.0B more parameters than Phi 4 Mini Reasoning, making it 763.2% 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 Mini Reasoning was released on 2025-04-30.
Phi 4 Mini Reasoning is 3 months newer than DeepSeek R1 Distill Qwen 32B.
Jan 20, 2025
1.2 years ago
Apr 30, 2025
10 months ago
3mo newerKnowledge Cutoff
When training data ends
Phi 4 Mini Reasoning has a documented knowledge cutoff of 2025-02-01, while DeepSeek R1 Distill Qwen 32B'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 Distill Qwen 32B's cutoff date.
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Feb 2025
Outputs Comparison
Key Takeaways
Phi 4 Mini Reasoning
View detailsMicrosoft
Detailed Comparison
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