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LLaMA 3.1 405B vs DeepSeek Coder V2

Comprehensive comparison of two leading open-source AI models

LLaMA 3.1 405B

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

DeepSeek Coder V2

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

Side-by-Side Comparison

FeatureLLaMA 3.1 405BDeepSeek Coder V2
ProviderMetaDeepSeek
Parameters405B236B (MoE)
KYI Score9.4/109.1/10
Speed6/107/10
Quality10/109/10
Cost Efficiency9/108/10
LicenseLLaMA 3.1 Community LicenseMIT
Context Length128K tokens128K tokens
Pricingfreefree

Performance Comparison

SpeedHigher is better
LLaMA 3.1 405B6/10
DeepSeek Coder V27/10
QualityHigher is better
LLaMA 3.1 405B10/10
DeepSeek Coder V29/10
Cost EffectivenessHigher is better
LLaMA 3.1 405B9/10
DeepSeek Coder V28/10

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

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

LLaMA 3.1 405B

Complex reasoningCode generationResearchContent creationTranslation

DeepSeek Coder V2

Code generationCode completionDebuggingCode translation

Which Should You Choose?

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

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