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Mixtral 8x7B vs Gemma 2 9B

Comprehensive comparison of two leading open-source AI models

Mixtral 8x7B

ProviderMistral AI
Parameters46.7B (8x7B MoE)
KYI Score8.7/10
LicenseApache 2.0

Gemma 2 9B

ProviderGoogle
Parameters9B
KYI Score7.9/10
LicenseGemma License

Side-by-Side Comparison

FeatureMixtral 8x7BGemma 2 9B
ProviderMistral AIGoogle
Parameters46.7B (8x7B MoE)9B
KYI Score8.7/107.9/10
Speed8/109/10
Quality8/107/10
Cost Efficiency9/1010/10
LicenseApache 2.0Gemma License
Context Length32K tokens8K tokens
Pricingfreefree

Performance Comparison

SpeedHigher is better
Mixtral 8x7B8/10
Gemma 2 9B9/10
QualityHigher is better
Mixtral 8x7B8/10
Gemma 2 9B7/10
Cost EffectivenessHigher is better
Mixtral 8x7B9/10
Gemma 2 9B10/10

Mixtral 8x7B Strengths

  • Excellent speed-quality balance
  • Efficient architecture
  • Strong multilingual
  • Apache 2.0 license

Mixtral 8x7B Limitations

  • Smaller context than LLaMA 3.1
  • Complex architecture

Gemma 2 9B Strengths

  • Efficient
  • Fast
  • Good for size
  • Google backing

Gemma 2 9B Limitations

  • Restrictive license
  • Shorter context
  • Limited capabilities

Best Use Cases

Mixtral 8x7B

Code generationMultilingual tasksReasoningContent creation

Gemma 2 9B

ChatbotsContent generationEdge deploymentGeneral tasks

Which Should You Choose?

Choose Mixtral 8x7B if you need excellent speed-quality balance and prioritize efficient architecture.

Choose Gemma 2 9B if you need efficient and prioritize fast.