Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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meta/llama-3-70b-instruct

A-TIER

Replicate

Intelligence Score 83/100
Model Popularity 0 votes
Context Window 8K tokens
Pricing Model Commercial / Paid
View Provider Analysis →

GPT-4o (via Coze)

S-TIER

Coze

Intelligence Score 92/100
Context Window 128K
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

GPT-4o (via Coze) Wins

With an intelligence score of 92/100 vs 83/100, GPT-4o (via Coze) outperforms meta/llama-3-70b-instruct by 9 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
meta/llama-3-70b-instruct
GPT-4o (via Coze)
Context Window
8K tokens 128K
Architecture
Transformer (Open Weight) Transformer (Proprietary)
Est. MMLU Score
~75-79% ~85-87%
Release Date
2024 May-Nov 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
Varies by model Varies by model
Daily Limit
Credit-based Token-based daily limits
Capabilities
No specific data
Vision
Performance Tier
B-Tier (Strong) A-Tier (Excellent)
Speed Estimate
⚡ Fast Medium
Primary Use Case
General Purpose General Purpose
Model Size
70b ~1.8T (estimated)
Limitations
  • Pay-per-second billing (can be expensive)
  • Cold starts for less popular models
  • Trial credits are minimal
  • Daily token limits on free tier
  • Platform-specific API format
  • Bot-centric usage model
Key Strengths
  • Run any public model with an API
  • Fine-tune existing models easily
  • Cold boots can be slow for unpopular models
  • Visual bot/agent builder
  • Multi-model access (GPT-4o, Gemini)
  • Plugin marketplace

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