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DeepSeek-V3.1 vs Phi 4 Mini Reasoning
Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 40.6% higher average benchmark score. DeepSeek-V3.1 is available on 2 providers. Overall, DeepSeek-V3.1 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3.1 is a language model developed by DeepSeek. The model shows competitive results across 16 benchmarks. It excels particularly in SimpleQA (93.4%), MMLU-Redux (91.8%), MMLU-Pro (83.7%). It supports a 328K 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.
3 months newer
DeepSeek-V3.1
DeepSeek
2025-01-10
Phi 4 Mini Reasoning
Microsoft
2025-04-30
Performance Metrics
Context window and performance specifications
Average performance across 18 common benchmarks
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DeepSeek-V3.1
Average Score:51.9%(+40.6%)
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Phi 4 Mini Reasoning
Average Score:11.3%
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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-V3.1
2 providers
DeepInfra
Novita
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Phi 4 Mini Reasoning
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DeepSeek-V3.1
Avg Score:51.9%(+40.6%)
Providers:2
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Phi 4 Mini Reasoning
Avg Score:11.3%
Providers:0