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DeepSeek-V3.2-Exp vs Phi 4 Mini Reasoning
Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 45.1% higher average benchmark score. DeepSeek-V3.2-Exp is available on 2 providers. Overall, DeepSeek-V3.2-Exp is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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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.
5 months newer
Phi 4 Mini Reasoning
Microsoft
2025-04-30
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
Performance Metrics
Context window and performance specifications
Average performance across 16 common benchmarks
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DeepSeek-V3.2-Exp
Average Score:57.8%(+45.1%)
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Phi 4 Mini Reasoning
Average Score:12.8%
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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-V3.2-Exp
2 providers
Novita
ZeroEval
Throughput: 100 tok/s
Latency: 0.7ms
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Phi 4 Mini Reasoning
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DeepSeek-V3.2-Exp
Avg Score:57.8%(+45.1%)
Providers:2
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Phi 4 Mini Reasoning
Avg Score:12.8%
Providers:0