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DeepSeek-V3 vs Phi 4 Mini
Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 26.1% higher average benchmark score. Overall, DeepSeek-V3 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3 was introduced as a major architectural advancement, developed with 671B mixture-of-experts parameters and trained on 14.8 trillion tokens. Built to be three times faster than V2 while maintaining open-source availability, it demonstrates competitive performance against frontier closed-source models and represents a significant leap in efficient large-scale model design.
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Microsoft
Phi-4 Mini was created as an even more compact variant of Phi-4, designed to bring fourth-generation capabilities to the smallest possible footprint. Built for extreme efficiency scenarios, it enables AI capabilities on devices and applications where resources are severely constrained.
1 month newer
DeepSeek-V3
DeepSeek
2024-12-25
Phi 4 Mini
Microsoft
2025-02-01
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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DeepSeek-V3
Average Score:74.5%(+26.1%)
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Phi 4 Mini
Average Score:48.4%
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Knowledge Cutoff
Training data recency comparison
Phi 4 Mini
2024-06-01
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
1 providers
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
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Phi 4 Mini
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DeepSeek-V3
Avg Score:74.5%(+26.1%)
Providers:1
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Phi 4 Mini
Avg Score:48.4%
Providers:0