Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Llama 4 Scout Instruct (Free)

A-TIER

Together.AI

Intelligence Score 87/100
Model Popularity 0 votes
Context Window 512K tokens
Pricing Model Free / Open

LLaVA 1.5

A-TIER

llamafile

Intelligence Score 81/100
Context Window Local
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Llama 4 Scout Instruct (Free) Wins

With an intelligence score of 87/100 vs 81/100, Llama 4 Scout Instruct (Free) outperforms LLaVA 1.5 by 6 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 4 Scout Instruct (Free)
LLaVA 1.5
Context Window
512K tokens Local
Architecture
Transformer (Open Weight) Transformer
Est. MMLU Score
~80-84% ~75-79%
Release Date
2026 (Latest) 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Subject to availability Hardware dependent
Daily Limit
Unlimited (Research Preview) Unlimited
Capabilities
Multimodal
Vision
Performance Tier
A-Tier (Excellent) B-Tier (Strong)
Speed Estimate
⚡ Very Fast Medium
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed Undisclosed
Limitations
  • Limited to specific free models
  • Research preview availability
  • File sizes are large (contain weights)
  • CLI usage often required
  • Windows requires appending .exe
Key Strengths
  • Host of specific free research models
  • Open-weight model hosting
  • Access to ServiceNow Apriel models
  • Executable weight files (multi-OS)
  • Integrated Web UI
  • OpenAI Compatible API server

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