Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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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 →

Llama 3.1 70B Instruct

A-TIER

Chutes.ai

Intelligence Score 88/100
Context Window 128K
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Llama 3.1 70B Instruct Wins

With an intelligence score of 88/100 vs 87/100, Llama 3.1 70B Instruct outperforms Llama 4 Scout Instruct (Free) by 1 point.

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

Detailed Comparison

Feature
Llama 4 Scout Instruct (Free)
Llama 3.1 70B Instruct
Context Window
512K tokens 128K
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~80-84% ~80-84%
Release Date
2026 (Latest) Jul 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 70B
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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