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DeepSeek R1 Distill Qwen 1.5B vs Phi 4 Mini Reasoning
Comprehensive side-by-side LLM comparison
Phi 4 Mini Reasoning leads with 3.4% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek R1 Distill Qwen 1.5B is a language model developed by DeepSeek. The model shows competitive results across 4 benchmarks. It excels particularly in MATH-500 (83.9%), AIME 2024 (52.7%), GPQA (33.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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Microsoft
Phi 4 Mini Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 68.0% across 3 benchmarks. It excels particularly in MATH-500 (94.6%), AIME (57.5%), GPQA (52.0%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
3 months newer
DeepSeek R1 Distill Qwen 1.5B
DeepSeek
2025-01-20
Phi 4 Mini Reasoning
Microsoft
2025-04-30
Average performance across 5 common benchmarks
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DeepSeek R1 Distill Qwen 1.5B
Average Score:37.5%
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Phi 4 Mini Reasoning
Average Score:40.8%(+3.4%)
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Knowledge Cutoff
Training data recency comparison
Phi 4 Mini Reasoning
2025-02-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Distill Qwen 1.5B
0 providers
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Phi 4 Mini Reasoning
0 providers
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DeepSeek R1 Distill Qwen 1.5B
Avg Score:37.5%
Providers:0
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Phi 4 Mini Reasoning
Avg Score:40.8%(+3.4%)
Providers:0