Battle of the Models
Compare specific LLM models, context windows, and capabilities.
Llama 4 Scout
A-TIERGroq
Intelligence Score
87/100
Model Popularity
0 votes
Context Window
1k RPD, 30k TPM
Pricing Model
Free / Open
GPT-OSS Safeguard 20B
Groq
Intelligence Score
65/100
Context Window
1k RPD, 8k TPM
Pricing Model
Free / Open
Model Popularity
0 votes
FINAL VERDICT
Llama 4 Scout Wins
With an intelligence score of 87/100 vs 65/100, Llama 4 Scout outperforms GPT-OSS Safeguard 20B by 22 points.
Clear Winner: Significant performance advantage for Llama 4 Scout.
HEAD-TO-HEAD
Detailed Comparison
| Feature |
Llama 4 Scout
|
GPT-OSS Safeguard 20B
|
|---|---|---|
|
Context Window
|
1k RPD, 30k TPM | 1k RPD, 8k TPM |
|
Architecture
|
Transformer (Open Weight) | Transformer (Proprietary) |
|
Est. MMLU Score
|
~80-84% | ~60-64% |
|
Release Date
|
2026 (Latest) | 2024 |
|
Pricing Model
|
Free Tier | Free Tier |
|
Rate Limit (RPM)
|
30 RPM, 14.4k RPD | 30 RPM, 14.4k RPD |
|
Daily Limit
|
14,400 Requests/Day | 14,400 Requests/Day |
|
Capabilities
|
No specific data
|
No specific data
|
|
Performance Tier
|
A-Tier (Excellent) | C-Tier (Good) |
|
Speed Estimate
|
⚡ Very Fast | Medium |
|
Primary Use Case
|
General Purpose | General Purpose |
|
Model Size
|
Undisclosed | 20B |
|
Limitations
|
|
|
|
Key Strengths
|
|
|
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