+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek-V3 0324 vs Phi 4 Mini Reasoning
Comprehensive side-by-side LLM comparison
DeepSeek-V3 0324 leads with 24.7% higher average benchmark score. Overall, DeepSeek-V3 0324 is the stronger choice for coding tasks.
+
+
+
+
DeepSeek
DeepSeek-V3 0324 is a language model developed by DeepSeek. It achieves strong performance with an average score of 70.4% across 5 benchmarks. It excels particularly in MATH-500 (94.0%), MMLU-Pro (81.2%), GPQA (68.4%). It supports a 328K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
+
+
+
+
Microsoft
Phi 4 Mini Reasoning is a language model developed by Microsoft. It achieves strong performance with an average score of 68.0% across 3 benchmarks. It excels particularly in MATH-500 (94.6%), AIME (57.5%), GPQA (52.0%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
1 month newer
DeepSeek-V3 0324
DeepSeek
2025-03-25
Phi 4 Mini Reasoning
Microsoft
2025-04-30
Performance Metrics
Context window and performance specifications
Average performance across 6 common benchmarks
+
+
+
+
DeepSeek-V3 0324
Average Score:58.7%(+24.7%)
+
+
+
+
Phi 4 Mini Reasoning
Average Score:34.0%
+
+
+
+
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
+
+
+
+
DeepSeek-V3 0324
1 providers
Novita
+
+
+
+
Phi 4 Mini Reasoning
0 providers
+
+
+
+
DeepSeek-V3 0324
Avg Score:58.7%(+24.7%)
Providers:1
+
+
+
+
Phi 4 Mini Reasoning
Avg Score:34.0%
Providers:0