Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Llama 3 8B Instruct

BentoML

Intelligence Score 71/100
Model Popularity 0 votes
Context Window 8K
Pricing Model Commercial / Paid

GPT-4o (via Coze)

S-TIER

Coze

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

GPT-4o (via Coze) Wins

With an intelligence score of 92/100 vs 71/100, GPT-4o (via Coze) outperforms Llama 3 8B Instruct by 21 points.

Clear Winner: Significant performance advantage for GPT-4o (via Coze).
HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3 8B Instruct
GPT-4o (via Coze)
Context Window
8K 128K
Architecture
Transformer (Open Weight) Transformer (Proprietary)
Est. MMLU Score
~65-69% ~85-87%
Release Date
2024 May-Nov 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
Hardware dependent Varies by model
Daily Limit
Unlimited Token-based daily limits
Capabilities
No specific data
Vision
Performance Tier
C-Tier (Good) A-Tier (Excellent)
Speed Estimate
⚡ Very Fast Medium
Primary Use Case
General Purpose General Purpose
Model Size
8B ~1.8T (estimated)
Limitations
  • Learning curve for 'Bento' concept
  • Deployment requires cloud knowledge
  • Local serving is just step 1
  • Daily token limits on free tier
  • Platform-specific API format
  • Bot-centric usage model
Key Strengths
  • Unified Model Store
  • Distributed Runner Architecture
  • Deployment Agnostic
  • Visual bot/agent builder
  • Multi-model access (GPT-4o, Gemini)
  • Plugin marketplace

Similar Comparisons