Battle of the Models
Compare specific LLM models, context windows, and capabilities.
Llama Guard 4 12B
Groq
Intelligence Score
65/100
Model Popularity
0 votes
Context Window
14.4k RPD, 15k 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 Guard 4 12B Wins
Equal intelligence scores (65/100), but Llama Guard 4 12B offers a significantly larger context window.
Close Match: The difference is minimal. Consider other factors like pricing and features.
HEAD-TO-HEAD
Detailed Comparison
| Feature |
Llama Guard 4 12B
|
GPT-OSS Safeguard 20B
|
|---|---|---|
|
Context Window
|
14.4k RPD, 15k TPM | 1k RPD, 8k TPM |
|
Architecture
|
Transformer (Open Weight) | Transformer (Proprietary) |
|
Est. MMLU Score
|
~60-64% | ~60-64% |
|
Release Date
|
2024 | 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
|
C-Tier (Good) | C-Tier (Good) |
|
Speed Estimate
|
Medium | Medium |
|
Primary Use Case
|
General Purpose | General Purpose |
|
Model Size
|
12B | 20B |
|
Limitations
|
|
|
|
Key Strengths
|
|
|
Similar Comparisons
Llama Guard 4 12B
vs
Meta: Llama 3.3 70B Instruct (free)
GPT-OSS Safeguard 20B
vs
Meta: Llama 3.3 70B Instruct (free)
Llama Guard 4 12B
vs
NVIDIA: Llama 3.1 Nemotron 70B (free)
GPT-OSS Safeguard 20B
vs
NVIDIA: Llama 3.1 Nemotron 70B (free)
Llama Guard 4 12B
vs
DeepSeek: R1 Distill Llama 70B (free)
GPT-OSS Safeguard 20B
vs
DeepSeek: R1 Distill Llama 70B (free)
GPT-OSS Safeguard 20B
vs
Llama 3.2 3B
GPT-OSS Safeguard 20B
vs
Llama 3.1 (Any Size)
GPT-OSS Safeguard 20B
vs
Llama 3.2 11B Vision
GPT-OSS Safeguard 20B
vs
Llama 3.1 8B Instruct
GPT-OSS Safeguard 20B
vs
meta/llama-3-70b-instruct
GPT-OSS Safeguard 20B
vs
Llama 3.3 70B Instruct