Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Llama 4 Scout

A-TIER

Groq

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

Mistral (Local)

Jan.ai

Intelligence Score 65/100
Context Window System RAM dependent
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 Mistral (Local) by 22 points.

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

Detailed Comparison

Feature
Llama 4 Scout
Mistral (Local)
Context Window
1k RPD, 30k TPM System RAM dependent
Architecture
Transformer (Open Weight) Transformer (Open Weight)
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 dependent
Daily Limit
14,400 Requests/Day Unlimited
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 Undisclosed
Limitations
  • Test
  • Requires decent hardware (RAM/GPU)
  • Battery drain on laptops
  • Local model quality vs GPT-4
Key Strengths
  • LPU Accelerated
  • Extremely Fast Inference
  • Open Source Models
  • One-click Model Downloader
  • Built-in Local API Server
  • GPU Acceleration (NVIDIA/Metal/Vulkan)

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