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 →

Mistral (Local)

Jan.ai

Intelligence Score 65/100
Context Window System RAM dependent
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

LLaVA 1.5 Wins

With an intelligence score of 81/100 vs 65/100, LLaVA 1.5 outperforms Mistral (Local) by 16 points.

Clear Winner: Significant performance advantage for LLaVA 1.5.
HEAD-TO-HEAD

Detailed Comparison

Feature
LLaVA 1.5
Mistral (Local)
Context Window
Local System RAM dependent
Architecture
Transformer Transformer (Open Weight)
Est. MMLU Score
~75-79% ~60-64%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Hardware dependent Hardware dependent
Daily Limit
Unlimited Unlimited
Capabilities
Vision
No specific data
Performance Tier
B-Tier (Strong) C-Tier (Good)
Speed Estimate
Medium Medium
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed Undisclosed
Limitations
  • File sizes are large (contain weights)
  • CLI usage often required
  • Windows requires appending .exe
  • Requires decent hardware (RAM/GPU)
  • Battery drain on laptops
  • Local model quality vs GPT-4
Key Strengths
  • Executable weight files (multi-OS)
  • Integrated Web UI
  • OpenAI Compatible API server
  • One-click Model Downloader
  • Built-in Local API Server
  • GPU Acceleration (NVIDIA/Metal/Vulkan)

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