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Mixtral 8x22B vs Qwen 2.5 72B

Comprehensive comparison of two leading open-source AI models

Mixtral 8x22B

ProviderMistral AI
Parameters141B (8x22B MoE)
KYI Score9/10
LicenseApache 2.0

Qwen 2.5 72B

ProviderAlibaba Cloud
Parameters72B
KYI Score8.9/10
LicenseApache 2.0

Side-by-Side Comparison

FeatureMixtral 8x22BQwen 2.5 72B
ProviderMistral AIAlibaba Cloud
Parameters141B (8x22B MoE)72B
KYI Score9/108.9/10
Speed7/107/10
Quality9/109/10
Cost Efficiency8/109/10
LicenseApache 2.0Apache 2.0
Context Length64K tokens128K tokens
Pricingfreefree

Performance Comparison

SpeedHigher is better
Mixtral 8x22B7/10
Qwen 2.5 72B7/10
QualityHigher is better
Mixtral 8x22B9/10
Qwen 2.5 72B9/10
Cost EffectivenessHigher is better
Mixtral 8x22B8/10
Qwen 2.5 72B9/10

Mixtral 8x22B Strengths

  • Top-tier performance
  • Efficient for size
  • Long context
  • Apache 2.0

Mixtral 8x22B Limitations

  • Requires significant resources
  • Complex deployment

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 8x22B

Complex reasoningLong document analysisCode generationResearch

Qwen 2.5 72B

Multilingual applicationsAsian language tasksCode generationTranslation

Which Should You Choose?

Choose Mixtral 8x22B if you need top-tier performance and prioritize efficient for size.

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