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LLaMA 3.1 405B vs LLaMA 3.1 70B

Comprehensive comparison of two leading open-source AI models

LLaMA 3.1 405B

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

LLaMA 3.1 70B

ProviderMeta
Parameters70B
KYI Score9.1/10
LicenseLLaMA 3.1 Community License

Side-by-Side Comparison

FeatureLLaMA 3.1 405BLLaMA 3.1 70B
ProviderMetaMeta
Parameters405B70B
KYI Score9.4/109.1/10
Speed6/107/10
Quality10/109/10
Cost Efficiency9/109/10
LicenseLLaMA 3.1 Community LicenseLLaMA 3.1 Community License
Context Length128K tokens128K tokens
Pricingfreefree

Performance Comparison

SpeedHigher is better
LLaMA 3.1 405B6/10
LLaMA 3.1 70B7/10
QualityHigher is better
LLaMA 3.1 405B10/10
LLaMA 3.1 70B9/10
Cost EffectivenessHigher is better
LLaMA 3.1 405B9/10
LLaMA 3.1 70B9/10

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

LLaMA 3.1 70B Strengths

  • Great performance-to-size ratio
  • Production-ready
  • Versatile
  • Cost-effective

LLaMA 3.1 70B Limitations

  • Slightly lower quality than 405B
  • Still requires substantial resources

Best Use Cases

LLaMA 3.1 405B

Complex reasoningCode generationResearchContent creationTranslation

LLaMA 3.1 70B

ChatbotsContent generationCode assistanceAnalysisSummarization

Which Should You Choose?

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

Choose LLaMA 3.1 70B if you need great performance-to-size ratio and prioritize production-ready.