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LLaMA 3.1 405B vs Gemma 2 27B

Comprehensive comparison of two leading open-source AI models

LLaMA 3.1 405B

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

Gemma 2 27B

ProviderGoogle
Parameters27B
KYI Score8.5/10
LicenseGemma License

Side-by-Side Comparison

FeatureLLaMA 3.1 405BGemma 2 27B
ProviderMetaGoogle
Parameters405B27B
KYI Score9.4/108.5/10
Speed6/108/10
Quality10/108/10
Cost Efficiency9/109/10
LicenseLLaMA 3.1 Community LicenseGemma License
Context Length128K tokens8K tokens
Pricingfreefree

Performance Comparison

SpeedHigher is better
LLaMA 3.1 405B6/10
Gemma 2 27B8/10
QualityHigher is better
LLaMA 3.1 405B10/10
Gemma 2 27B8/10
Cost EffectivenessHigher is better
LLaMA 3.1 405B9/10
Gemma 2 27B9/10

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

Gemma 2 27B Strengths

  • Google research backing
  • Efficient
  • Good safety
  • Easy to deploy

Gemma 2 27B Limitations

  • Shorter context window
  • Restrictive license
  • Less versatile

Best Use Cases

LLaMA 3.1 405B

Complex reasoningCode generationResearchContent creationTranslation

Gemma 2 27B

ChatbotsContent generationSummarizationQ&A

Which Should You Choose?

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

Choose Gemma 2 27B if you need google research backing and prioritize efficient.