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DeepSeek R1 Distill Qwen 32B vs Phi 4 Mini Reasoning
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Qwen 32B leads with 4.9% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-R1-Distill-Qwen-32B was created as a larger distilled variant, designed to transfer more of DeepSeek-R1's reasoning capabilities into a Qwen-based foundation. Built to serve applications requiring enhanced analytical depth, it represents a powerful option in the distilled reasoning model family.
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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 32B
DeepSeek
2025-01-20
Phi 4 Mini Reasoning
Microsoft
2025-04-30
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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DeepSeek R1 Distill Qwen 32B
Average Score:78.2%(+4.9%)
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Phi 4 Mini Reasoning
Average Score:73.3%
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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 32B
1 providers
DeepInfra
Throughput: 37 tok/s
Latency: 0.65ms
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Phi 4 Mini Reasoning
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DeepSeek R1 Distill Qwen 32B
Avg Score:78.2%(+4.9%)
Providers:1
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Phi 4 Mini Reasoning
Avg Score:73.3%
Providers:0