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Phi-3 Medium vs DeepSeek Coder V2

Comprehensive comparison of two leading open-source AI models

Phi-3 Medium

ProviderMicrosoft
Parameters14B
KYI Score8.3/10
LicenseMIT

DeepSeek Coder V2

ProviderDeepSeek
Parameters236B (MoE)
KYI Score9.1/10
LicenseMIT

Side-by-Side Comparison

FeaturePhi-3 MediumDeepSeek Coder V2
ProviderMicrosoftDeepSeek
Parameters14B236B (MoE)
KYI Score8.3/109.1/10
Speed9/107/10
Quality7/109/10
Cost Efficiency10/108/10
LicenseMITMIT
Context Length128K tokens128K tokens
Pricingfreefree

Performance Comparison

SpeedHigher is better
Phi-3 Medium9/10
DeepSeek Coder V27/10
QualityHigher is better
Phi-3 Medium7/10
DeepSeek Coder V29/10
Cost EffectivenessHigher is better
Phi-3 Medium10/10
DeepSeek Coder V28/10

Phi-3 Medium Strengths

  • Excellent efficiency
  • MIT license
  • Long context
  • Fast

Phi-3 Medium Limitations

  • Lower quality than larger models
  • Limited capabilities

DeepSeek Coder V2 Strengths

  • Exceptional coding
  • Massive language support
  • MIT license
  • Long context

DeepSeek Coder V2 Limitations

  • Large model size
  • Specialized for code

Best Use Cases

Phi-3 Medium

Edge deploymentMobile appsChatbotsCode assistance

DeepSeek Coder V2

Code generationCode completionDebuggingCode translation

Which Should You Choose?

Choose Phi-3 Medium if you need excellent efficiency and prioritize mit license.

Choose DeepSeek Coder V2 if you need exceptional coding and prioritize massive language support.