Battle of the Models
Compare specific LLM models, context windows, and capabilities.
Llama 3.2 11B Vision
A-TIERHugging Face Inference
Intelligence Score
82/100
Model Popularity
0 votes
Context Window
128k
Pricing Model
Free / Open
Llama 4 Scout (Fast)
A-TIERCerebras
Intelligence Score
87/100
Context Window
8K
Pricing Model
Free / Open
Model Popularity
0 votes
FINAL VERDICT
Llama 4 Scout (Fast) Wins
With an intelligence score of 87/100 vs 82/100, Llama 4 Scout (Fast) outperforms Llama 3.2 11B Vision by 5 points.
Close Match: The difference is minimal. Consider other factors like pricing and features.
HEAD-TO-HEAD
Detailed Comparison
| Feature |
Llama 3.2 11B Vision
|
Llama 4 Scout (Fast)
|
|---|---|---|
|
Context Window
|
128k | 8K |
|
Architecture
|
Transformer (Open Weight) | Transformer (Open Weight) |
|
Est. MMLU Score
|
~75-79% | ~80-84% |
|
Release Date
|
Sep 2024 | 2026 (Latest) |
|
Pricing Model
|
Free Tier | Free Tier |
|
Rate Limit (RPM)
|
300 Requests / hour | 30 RPM |
|
Daily Limit
|
Dependent on global load | 1,000,000 Tokens / Day |
|
Capabilities
|
Text
Vision
|
No specific data
|
|
Performance Tier
|
B-Tier (Strong) | A-Tier (Excellent) |
|
Speed Estimate
|
Medium | ⚡ Very Fast |
|
Primary Use Case
|
👁️ Vision & Multimodal | General Purpose |
|
Model Size
|
11B | Undisclosed |
|
Limitations
|
|
|
|
Key Strengths
|
|
|
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