Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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GPT-4o (via Coze)

S-TIER

Coze

Intelligence Score 92/100
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

GPT-4o (via Coze) Wins

With an intelligence score of 92/100 vs 91/100, GPT-4o (via Coze) outperforms Llama 3.1 405B by 1 point.

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

Detailed Comparison

Feature
GPT-4o (via Coze)
Llama 3.1 405B
Context Window
128K 128K tokens
Architecture
Transformer (Proprietary) Transformer (Open Weight)
Est. MMLU Score
~85-87% ~85-87%
Release Date
May-Nov 2024 Jul 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Varies by model 10 RPM (free tier)
Daily Limit
Token-based daily limits Limited daily usage
Capabilities
Vision
Reasoning
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
Speed Estimate
Medium 🐢 Slower (Reasoning)
Primary Use Case
General Purpose General Purpose
Model Size
~1.8T (estimated) 405B
Limitations
  • Daily token limits on free tier
  • Platform-specific API format
  • Bot-centric usage model
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
Key Strengths
  • Visual bot/agent builder
  • Multi-model access (GPT-4o, Gemini)
  • Plugin marketplace
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network

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