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DeepSeek-V3.1 vs Phi 4
Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 40.8% higher average benchmark score. DeepSeek-V3.1 offers 295.7K more tokens in context window than Phi 4. Phi 4 is $1.06 cheaper per million tokens. Overall, DeepSeek-V3.1 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3.1 was developed as an incremental advancement over DeepSeek-V3, designed to refine the mixture-of-experts architecture with improved training techniques. Built to enhance quality and efficiency while maintaining the open-source philosophy, it represents continued iteration on DeepSeek's flagship model line.
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Microsoft
Phi-4 was introduced as the fourth generation of Microsoft's small language model series, designed to push the boundaries of what compact models can achieve. Built with advanced training techniques and architectural improvements, it demonstrates continued progress in efficient, high-quality language models.
29 days newer
Phi 4
Microsoft
2024-12-12
DeepSeek-V3.1
DeepSeek
2025-01-10
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.1
Input:$0.27
Output:$1.00
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Phi 4
Input:$0.07
Output:$0.14($1.06 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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DeepSeek-V3.1
Average Score:84.0%(+40.8%)
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Phi 4
Average Score:43.2%
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Knowledge Cutoff
Training data recency comparison
Phi 4
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
2 providers
DeepInfra
Novita
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Phi 4
1 providers
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DeepSeek-V3.1
Avg Score:84.0%(+40.8%)
Providers:2
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Phi 4
Avg Score:43.2%
Providers:1