Battle of the Models
Compare specific LLM models, context windows, and capabilities.
Mixtral 8x7B Instruct
A-TIERFriendli AI
Intelligence Score
86/100
Model Popularity
0 votes
Context Window
32K
Pricing Model
Commercial / Paid
Llama 3.1 405B
S-TIERVenice.ai
Intelligence Score
91/100
Context Window
128K tokens
Pricing Model
Free / Open
Model Popularity
0 votes
FINAL VERDICT
Llama 3.1 405B Wins
With an intelligence score of 91/100 vs 86/100, Llama 3.1 405B outperforms Mixtral 8x7B Instruct by 5 points.
Close Match: The difference is minimal. Consider other factors like pricing and features.
HEAD-TO-HEAD
Detailed Comparison
| Feature |
Mixtral 8x7B Instruct
|
Llama 3.1 405B
|
|---|---|---|
|
Context Window
|
32K | 128K tokens |
|
Architecture
|
Mixture of Experts (MoE) | Transformer (Open Weight) |
|
Est. MMLU Score
|
~80-84% | ~85-87% |
|
Release Date
|
2024 | Jul 2024 |
|
Pricing Model
|
Paid / Commercial | Free Tier |
|
Rate Limit (RPM)
|
60 RPM | 10 RPM (free tier) |
|
Daily Limit
|
Credit-based | Limited daily usage |
|
Capabilities
|
Multilingual
|
Reasoning
|
|
Performance Tier
|
A-Tier (Excellent) | A-Tier (Excellent) |
|
Speed Estimate
|
⚡ Very Fast | 🐢 Slower (Reasoning) |
|
Primary Use Case
|
General Purpose | General Purpose |
|
Model Size
|
7B | 405B |
|
Limitations
|
|
|
|
Key Strengths
|
|
|
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meta/llama-3-70b-instruct