Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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LLaVA 1.5

A-TIER

llamafile

Intelligence Score 81/100
Model Popularity 0 votes
Context Window Local
Pricing Model Free / Open
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 81/100, GPT-4o (via Coze) outperforms LLaVA 1.5 by 11 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
LLaVA 1.5
GPT-4o (via Coze)
Context Window
Local 128K
Architecture
Transformer Transformer (Proprietary)
Est. MMLU Score
~75-79% ~85-87%
Release Date
2024 May-Nov 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Hardware dependent Varies by model
Daily Limit
Unlimited Token-based daily limits
Capabilities
Vision
Vision
Performance Tier
B-Tier (Strong) A-Tier (Excellent)
Speed Estimate
Medium Medium
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed ~1.8T (estimated)
Limitations
  • File sizes are large (contain weights)
  • CLI usage often required
  • Windows requires appending .exe
  • Daily token limits on free tier
  • Platform-specific API format
  • Bot-centric usage model
Key Strengths
  • Executable weight files (multi-OS)
  • Integrated Web UI
  • OpenAI Compatible API server
  • Visual bot/agent builder
  • Multi-model access (GPT-4o, Gemini)
  • Plugin marketplace

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