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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 14.4% higher average benchmark score. Overall, Phi 4 Mini Reasoning is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-R1-Distill-Qwen-1.5B was created through distillation into an ultra-compact Qwen architecture, designed to enable reasoning capabilities on resource-constrained devices. Built with just 1.5 billion parameters, it brings advanced analytical techniques to edge computing and mobile scenarios.
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Microsoft
Phi-4 Mini Reasoning was developed to incorporate extended thinking capabilities into the ultra-compact Phi-4 Mini architecture. Built to demonstrate that reasoning enhancements can be applied even to very small models, it brings analytical depth to resource-constrained environments.
3 months newer
DeepSeek R1 Distill Qwen 1.5B
DeepSeek
2025-01-20
Phi 4 Mini Reasoning
Microsoft
2025-04-30
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Average performance across 2 common benchmarks
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DeepSeek R1 Distill Qwen 1.5B
Average Score:58.9%
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Phi 4 Mini Reasoning
Average Score:73.3%(+14.4%)
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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:58.9%
Providers:0
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Phi 4 Mini Reasoning
Avg Score:73.3%(+14.4%)
Providers:0