Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Llama 3.1 70B Instruct

A-TIER

Chutes.ai

Intelligence Score 88/100
Model Popularity 0 votes
Context Window 128K
Pricing Model Free / Open

Llama 3.1 405B

S-TIER

Venice.ai

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

Llama 3.1 405B Wins

With an intelligence score of 91/100 vs 88/100, Llama 3.1 405B outperforms Llama 3.1 70B Instruct by 3 points.

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

Detailed Comparison

Feature
Llama 3.1 70B Instruct
Llama 3.1 405B
Context Window
128K 128K tokens
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~80-84% ~85-87%
Release Date
Jul 2024 Jul 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Varies (community capacity) 10 RPM (free tier)
Daily Limit
Subject to availability Limited daily usage
Capabilities
No specific data
Reasoning
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
Speed Estimate
⚡ Fast 🐢 Slower (Reasoning)
Primary Use Case
General Purpose General Purpose
Model Size
70B 405B
Limitations
  • Availability depends on community GPU donors
  • Speed varies with demand
  • Models may be temporarily unavailable
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
Key Strengths
  • Community-powered GPU network
  • Free access to large open-source models
  • OpenAI-compatible API format
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network

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