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DeepSeek-V3 0324 vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
DeepSeek-V3 0324 leads with 35.9% higher average benchmark score. DeepSeek-V3 0324 offers 71.7K more tokens in context window than Phi-3.5-mini-instruct. Phi-3.5-mini-instruct is $1.22 cheaper per million tokens. Overall, DeepSeek-V3 0324 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3-0324 represents a specific release iteration of DeepSeek-V3, developed to incorporate ongoing improvements and refinements. Built to provide enhanced stability and performance based on deployment learnings, it continues the evolution of the DeepSeek-V3 architecture with iterative enhancements.
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Microsoft
Phi-3.5 Mini was developed by Microsoft as a small language model designed to deliver impressive performance despite its compact size. Built with efficiency in mind, it demonstrates that capable language understanding and generation can be achieved with fewer parameters, making AI more accessible for edge and resource-constrained deployments.
7 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
DeepSeek-V3 0324
DeepSeek
2025-03-25
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3 0324
Input:$0.28
Output:$1.14
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Phi-3.5-mini-instruct
Input:$0.10
Output:$0.10($1.22 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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DeepSeek-V3 0324
Average Score:74.8%(+35.9%)
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Phi-3.5-mini-instruct
Average Score:38.9%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3 0324
1 providers
Novita
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Phi-3.5-mini-instruct
1 providers
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DeepSeek-V3 0324
Avg Score:74.8%(+35.9%)
Providers:1
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Phi-3.5-mini-instruct
Avg Score:38.9%
Providers:1