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
View Provider Analysis →

Llama 3.1 405B

S-TIER

Venice.ai

Intelligence Score 91/100
Context Window 128K tokens
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Llama 3.1 405B Wins

With an intelligence score of 91/100 vs 87/100, Llama 3.1 405B 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)
Llama 3.1 405B
Context Window
512K tokens 128K tokens
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~80-84% ~85-87%
Release Date
2026 (Latest) Jul 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Subject to availability 10 RPM (free tier)
Daily Limit
Unlimited (Research Preview) Limited daily usage
Capabilities
Multimodal
Reasoning
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
Speed Estimate
⚡ Very Fast 🐢 Slower (Reasoning)
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed 405B
Limitations
  • Limited to specific free models
  • Research preview availability
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
Key Strengths
  • Host of specific free research models
  • Open-weight model hosting
  • Access to ServiceNow Apriel models
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network

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