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DeepSeek-V3 0324 vs Phi 4 Reasoning
Comprehensive side-by-side LLM comparison
Phi 4 Reasoning leads with 2.8% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-V3-0324 represents a specific release iteration of DeepSeek-V3, developed to incorporate ongoing improvements and refinements. Built to provide enhanced stability and performance based on deployment learnings, it continues the evolution of the DeepSeek-V3 architecture with iterative enhancements.
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Microsoft
Phi-4 Reasoning was developed to incorporate extended analytical thinking into the Phi-4 architecture, designed to spend more time on complex problem-solving. Built to combine compact model efficiency with reasoning depth, it represents Microsoft's exploration of thoughtful small models.
1 month newer
DeepSeek-V3 0324
DeepSeek
2025-03-25
Phi 4 Reasoning
Microsoft
2025-04-30
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Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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DeepSeek-V3 0324
Average Score:64.5%
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Phi 4 Reasoning
Average Score:67.3%(+2.8%)
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Knowledge Cutoff
Training data recency comparison
Phi 4 Reasoning
2025-03-01
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-V3 0324
1 providers
Novita
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Phi 4 Reasoning
0 providers
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DeepSeek-V3 0324
Avg Score:64.5%
Providers:1
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Phi 4 Reasoning
Avg Score:67.3%(+2.8%)
Providers:0