Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Any Local Model

Text Generation WebUI

Intelligence Score 65/100
Model Popularity 0 votes
Context Window Varies
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 65/100, Llama 3.1 405B outperforms Any Local Model by 26 points.

Clear Winner: Significant performance advantage for Llama 3.1 405B.
HEAD-TO-HEAD

Detailed Comparison

Feature
Any Local Model
Llama 3.1 405B
Context Window
Varies 128K tokens
Architecture
Transformer Transformer (Open Weight)
Est. MMLU Score
~60-64% ~85-87%
Release Date
2024 Jul 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Hardware dependent 10 RPM (free tier)
Daily Limit
Unlimited Limited daily usage
Capabilities
No specific data
Reasoning
Performance Tier
C-Tier (Good) A-Tier (Excellent)
Speed Estimate
Medium 🐢 Slower (Reasoning)
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed 405B
Limitations
  • Complex for beginners
  • Updates can break things
  • Resource heavy
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
Key Strengths
  • Supports almost every model format
  • Parameter tweaking (temp, top_p, etc.)
  • Character persona management
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network

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