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LLaMA 3.1 405B vs Phi-3 Medium

Comprehensive comparison of two leading open-source AI models

LLaMA 3.1 405B

ProviderMeta
Parameters405B
KYI Score9.4/10
LicenseLLaMA 3.1 Community License

Phi-3 Medium

ProviderMicrosoft
Parameters14B
KYI Score8.3/10
LicenseMIT

Side-by-Side Comparison

FeatureLLaMA 3.1 405BPhi-3 Medium
ProviderMetaMicrosoft
Parameters405B14B
KYI Score9.4/108.3/10
Speed6/109/10
Quality10/107/10
Cost Efficiency9/1010/10
LicenseLLaMA 3.1 Community LicenseMIT
Context Length128K tokens128K tokens
Pricingfreefree

Performance Comparison

SpeedHigher is better
LLaMA 3.1 405B6/10
Phi-3 Medium9/10
QualityHigher is better
LLaMA 3.1 405B10/10
Phi-3 Medium7/10
Cost EffectivenessHigher is better
LLaMA 3.1 405B9/10
Phi-3 Medium10/10

LLaMA 3.1 405B Strengths

  • Exceptional reasoning
  • Strong coding abilities
  • Multilingual
  • Long context window

LLaMA 3.1 405B Limitations

  • Requires significant compute
  • Large model size
  • Slower inference

Phi-3 Medium Strengths

  • Excellent efficiency
  • MIT license
  • Long context
  • Fast

Phi-3 Medium Limitations

  • Lower quality than larger models
  • Limited capabilities

Best Use Cases

LLaMA 3.1 405B

Complex reasoningCode generationResearchContent creationTranslation

Phi-3 Medium

Edge deploymentMobile appsChatbotsCode assistance

Which Should You Choose?

Choose LLaMA 3.1 405B if you need exceptional reasoning and prioritize strong coding abilities.

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