LLaMA 3.1 405B vs Mixtral 8x7B
Comprehensive comparison of two leading open-source AI models
LLaMA 3.1 405B
ProviderMeta
Parameters405B
KYI Score9.4/10
LicenseLLaMA 3.1 Community License
Mixtral 8x7B
ProviderMistral AI
Parameters46.7B (8x7B MoE)
KYI Score8.7/10
LicenseApache 2.0
Side-by-Side Comparison
| Feature | LLaMA 3.1 405B | Mixtral 8x7B |
|---|---|---|
| Provider | Meta | Mistral AI |
| Parameters | 405B | 46.7B (8x7B MoE) |
| KYI Score | 9.4/10 | 8.7/10 |
| Speed | 6/10 | 8/10 |
| Quality | 10/10 | 8/10 |
| Cost Efficiency | 9/10 | 9/10 |
| License | LLaMA 3.1 Community License | Apache 2.0 |
| Context Length | 128K tokens | 32K tokens |
| Pricing | free | free |
Performance Comparison
SpeedHigher is better
LLaMA 3.1 405B6/10
Mixtral 8x7B8/10
QualityHigher is better
LLaMA 3.1 405B10/10
Mixtral 8x7B8/10
Cost EffectivenessHigher is better
LLaMA 3.1 405B9/10
Mixtral 8x7B9/10
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
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
Best Use Cases
LLaMA 3.1 405B
Complex reasoningCode generationResearchContent creationTranslation
Mixtral 8x7B
Code generationMultilingual tasksReasoningContent creation
Which Should You Choose?
Choose LLaMA 3.1 405B if you need exceptional reasoning and prioritize strong coding abilities.
Choose Mixtral 8x7B if you need excellent speed-quality balance and prioritize efficient architecture.