Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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VS
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Llama Guard 4 12B

Groq

Intelligence Score 65/100
Model Popularity 0 votes
Context Window 14.4k RPD, 15k TPM
Pricing Model Free / Open
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meta/llama-3-70b-instruct

A-TIER

Replicate

Intelligence Score 83/100
Context Window 8K tokens
Pricing Model Commercial / Paid
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

meta/llama-3-70b-instruct Wins

With an intelligence score of 83/100 vs 65/100, meta/llama-3-70b-instruct outperforms Llama Guard 4 12B by 18 points.

Clear Winner: Significant performance advantage for meta/llama-3-70b-instruct.
HEAD-TO-HEAD

Detailed Comparison

Feature
Llama Guard 4 12B
meta/llama-3-70b-instruct
Context Window
14.4k RPD, 15k TPM 8K tokens
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~60-64% ~75-79%
Release Date
2024 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
30 RPM, 14.4k RPD Varies by model
Daily Limit
14,400 Requests/Day Credit-based
Capabilities
No specific data
No specific data
Performance Tier
C-Tier (Good) B-Tier (Strong)
Speed Estimate
Medium ⚡ Fast
Primary Use Case
General Purpose General Purpose
Model Size
12B 70b
Limitations
  • Test
  • Pay-per-second billing (can be expensive)
  • Cold starts for less popular models
  • Trial credits are minimal
Key Strengths
  • LPU Accelerated
  • Extremely Fast Inference
  • Open Source Models
  • Run any public model with an API
  • Fine-tune existing models easily
  • Cold boots can be slow for unpopular models

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