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

Qwen3.5 72B Instruct

A-TIER

Hugging Face Inference

Intelligence Score 83/100
Context Window 128K
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Llama 4 Scout Instruct (Free) Wins

With an intelligence score of 87/100 vs 83/100, Llama 4 Scout Instruct (Free) outperforms Qwen3.5 72B Instruct by 4 points.

Close Match: The difference is minimal. Consider other factors like pricing and features.
HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 4 Scout Instruct (Free)
Qwen3.5 72B Instruct
Context Window
512K tokens 128K
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~80-84% ~75-79%
Release Date
2026 (Latest) 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Subject to availability 300 Requests / hour
Daily Limit
Unlimited (Research Preview) Dependent on global load
Capabilities
Multimodal
Chinese
Performance Tier
A-Tier (Excellent) B-Tier (Strong)
Speed Estimate
⚡ Very Fast ⚡ Fast
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed 72B
Limitations
  • Limited to specific free models
  • Research preview availability
  • Rate limited to ~300 request/hour for free users
  • Models larger than 10GB may not load
  • Cold starts can occur
Key Strengths
  • Host of specific free research models
  • Open-weight model hosting
  • Access to ServiceNow Apriel models
  • Serverless Inference
  • Instant Model Loading
  • Text Generation

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