Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Llama 4 Scout

A-TIER

Groq

Intelligence Score 87/100
Model Popularity 0 votes
Context Window 1k RPD, 30k TPM
Pricing Model Free / Open
View Provider Analysis →

Phi-3.5 Mini

Ollama

Intelligence Score 65/100
Context Window 128K tokens
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Llama 4 Scout Wins

With an intelligence score of 87/100 vs 65/100, Llama 4 Scout outperforms Phi-3.5 Mini by 22 points.

Clear Winner: Significant performance advantage for Llama 4 Scout.
HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 4 Scout
Phi-3.5 Mini
Context Window
1k RPD, 30k TPM 128K tokens
Architecture
Transformer (Open Weight) Transformer
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 Hardware limited
Daily Limit
14,400 Requests/Day Unlimited
Capabilities
No specific data
Reasoning
Performance Tier
A-Tier (Excellent) C-Tier (Good)
Speed Estimate
âš¡ Very Fast âš¡ Very Fast
Primary Use Case
General Purpose âš¡ Fast Chat & Apps
Model Size
Undisclosed Undisclosed
Limitations
  • Test
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
Key Strengths
  • LPU Accelerated
  • Extremely Fast Inference
  • Open Source Models
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration

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