Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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GPT-4o

S-TIER

OpenAI

Intelligence Score 92/100
Model Popularity 0 votes
Context Window 128K
Pricing Model Commercial / Paid
Commercial/Paid Model

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 Wins

With an intelligence score of 92/100 vs 91/100, GPT-4o 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
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
Paid / Commercial Free Tier
Rate Limit (RPM)
10,000 RPM 10 RPM (free tier)
Daily Limit
Based on tier Limited daily usage
Capabilities
Vision Function Calling Streaming JSON Mode
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
  • API key required
  • Rate limits apply
  • Pay-per-token pricing
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
Key Strengths
  • Advanced reasoning
  • Code generation
  • Creative writing
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network

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