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DeepSeek R1 Distill Llama 8B vs Phi 4 Mini Reasoning
Comprehensive side-by-side LLM comparison
Phi 4 Mini Reasoning leads with 4.3% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-R1-Distill-Llama-8B was developed as a compact distilled variant, designed to bring reasoning capabilities to a more efficient 8B parameter Llama base. Built to democratize access to reasoning-enhanced models, it provides a lightweight option for applications requiring analytical depth with limited resources.
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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 Llama 8B
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 Llama 8B
Average Score:69.0%
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Phi 4 Mini Reasoning
Average Score:73.3%(+4.3%)
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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 Llama 8B
0 providers
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Phi 4 Mini Reasoning
0 providers
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DeepSeek R1 Distill Llama 8B
Avg Score:69.0%
Providers:0
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Phi 4 Mini Reasoning
Avg Score:73.3%(+4.3%)
Providers:0