Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Llama 3.1 405B

S-TIER

Venice.ai

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

Llama 4 Scout Instruct (Free)

A-TIER

Together.AI

Intelligence Score 87/100
Context Window 512K 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 3.1 405B
Llama 4 Scout Instruct (Free)
Context Window
128K tokens 512K tokens
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~85-87% ~80-84%
Release Date
Jul 2024 2026 (Latest)
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
10 RPM (free tier) Subject to availability
Daily Limit
Limited daily usage Unlimited (Research Preview)
Capabilities
Reasoning
Multimodal
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
Speed Estimate
🐢 Slower (Reasoning) ⚡ Very Fast
Primary Use Case
General Purpose General Purpose
Model Size
405B Undisclosed
Limitations
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
  • Limited to specific free models
  • Research preview availability
Key Strengths
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network
  • Host of specific free research models
  • Open-weight model hosting
  • Access to ServiceNow Apriel models

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