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DeepSeek-V3 vs Phi 4
Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 12.2% higher average benchmark score. DeepSeek-V3 offers 230.1K more tokens in context window than Phi 4. Phi 4 is $1.16 cheaper per million tokens. 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 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.
13 days newer
Phi 4
Microsoft
2024-12-12
DeepSeek-V3
DeepSeek
2024-12-25
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3
Input:$0.27
Output:$1.10
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Phi 4
Input:$0.07
Output:$0.14($1.16 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 6 common benchmarks
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DeepSeek-V3
Average Score:71.0%(+12.2%)
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Phi 4
Average Score:58.8%
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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 providers
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
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Phi 4
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DeepSeek-V3
Avg Score:71.0%(+12.2%)
Providers:1
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Phi 4
Avg Score:58.8%
Providers:1