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Mixtral 8x7B vs Qwen 2.5 72B

Comprehensive comparison of two leading open-source AI models

Mixtral 8x7B

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

Qwen 2.5 72B

ProviderAlibaba Cloud
Parameters72B
KYI Score8.9/10
LicenseApache 2.0

Side-by-Side Comparison

FeatureMixtral 8x7BQwen 2.5 72B
ProviderMistral AIAlibaba Cloud
Parameters46.7B (8x7B MoE)72B
KYI Score8.7/108.9/10
Speed8/107/10
Quality8/109/10
Cost Efficiency9/109/10
LicenseApache 2.0Apache 2.0
Context Length32K tokens128K tokens
Pricingfreefree

Performance Comparison

SpeedHigher is better
Mixtral 8x7B8/10
Qwen 2.5 72B7/10
QualityHigher is better
Mixtral 8x7B8/10
Qwen 2.5 72B9/10
Cost EffectivenessHigher is better
Mixtral 8x7B9/10
Qwen 2.5 72B9/10

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

Qwen 2.5 72B Strengths

  • Best-in-class Chinese support
  • Strong multilingual
  • Long context
  • Versatile

Qwen 2.5 72B Limitations

  • Less known in Western markets
  • Documentation primarily in Chinese

Best Use Cases

Mixtral 8x7B

Code generationMultilingual tasksReasoningContent creation

Qwen 2.5 72B

Multilingual applicationsAsian language tasksCode generationTranslation

Which Should You Choose?

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

Choose Qwen 2.5 72B if you need best-in-class chinese support and prioritize strong multilingual.