Battle of the Models
Compare specific LLM models, context windows, and capabilities.
Llama 3.1 405B
S-TIERVenice.ai
Intelligence Score
91/100
Model Popularity
0 votes
Context Window
128K tokens
Pricing Model
Free / Open
Llama 4 Scout
A-TIERGitHub Models
Intelligence Score
87/100
Context Window
128K
Pricing Model
Free / Open
Model Popularity
0 votes
FINAL VERDICT
Llama 3.1 405B Wins
With an intelligence score of 91/100 vs 87/100, Llama 3.1 405B outperforms Llama 4 Scout by 4 points.
Close Match: The difference is minimal. Consider other factors like pricing and features.
HEAD-TO-HEAD
Detailed Comparison
| Feature |
Llama 3.1 405B
|
Llama 4 Scout
|
|---|---|---|
|
Context Window
|
128K tokens | 128K |
|
Architecture
|
Transformer (Open Weight) | Transformer (Open Weight) |
|
Est. MMLU Score
|
~85-87% | ~80-84% |
|
Release Date
|
Jul 2024 | 2026 (Latest) |
|
Pricing Model
|
Free Tier | Free Tier |
|
Rate Limit (RPM)
|
10 RPM (free tier) | 10 RPM (high-tier) / higher for mini-tier |
|
Daily Limit
|
Limited daily usage | 50 RPD (high-tier models) / 150 RPD (mini-tier models) |
|
Capabilities
|
Reasoning
|
No specific data
|
|
Performance Tier
|
A-Tier (Excellent) | A-Tier (Excellent) |
|
Speed Estimate
|
🐢 Slower (Reasoning) | ⚡ Very Fast |
|
Primary Use Case
|
General Purpose | General Purpose |
|
Model Size
|
405B | Undisclosed |
|
Limitations
|
|
|
|
Key Strengths
|
|
|
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