Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

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
View Provider Analysis →

Qwen 2.5 72B Instruct

S-TIER

Chutes.ai

Intelligence Score 91/100
Context Window 32K
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Qwen 2.5 72B Instruct Wins

With an intelligence score of 91/100 vs 87/100, Qwen 2.5 72B Instruct outperforms Llama 4 Scout Instruct (Free) 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)
Qwen 2.5 72B Instruct
Context Window
512K tokens 32K
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~80-84% ~85-87%
Release Date
2026 (Latest) Sep-Nov 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Subject to availability Varies (community capacity)
Daily Limit
Unlimited (Research Preview) Subject to availability
Capabilities
Multimodal
No specific data
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
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
  • Availability depends on community GPU donors
  • Speed varies with demand
  • Models may be temporarily unavailable
Key Strengths
  • Host of specific free research models
  • Open-weight model hosting
  • Access to ServiceNow Apriel models
  • Community-powered GPU network
  • Free access to large open-source models
  • OpenAI-compatible API format

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