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DeepSeek-V3 vs Phi 4
Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 18.0% 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 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents DeepSeek's latest advancement in AI technology.
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Microsoft
Phi 4 is a language model developed by Microsoft. It achieves strong performance with an average score of 66.0% across 13 benchmarks. It excels particularly in MMLU (84.8%), HumanEval+ (82.8%), HumanEval (82.6%). The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
13 days newer
Phi 4
Microsoft
2024-12-12
DeepSeek-V3
DeepSeek
2024-12-25
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 27 common benchmarks
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DeepSeek-V3
Average Score:49.8%(+18.0%)
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Phi 4
Average Score:31.8%
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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:49.8%(+18.0%)
Providers:1
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Phi 4
Avg Score:31.8%
Providers:1