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

Llama 3.1 70B Instruct

A-TIER

Chutes.ai

Intelligence Score 88/100
Context Window 128K
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Llama 3.1 70B Instruct Wins

With an intelligence score of 88/100 vs 81/100, Llama 3.1 70B Instruct outperforms LLaVA 1.5 by 7 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
LLaVA 1.5
Llama 3.1 70B Instruct
Context Window
Local 128K
Architecture
Transformer Transformer (Open Weight)
Est. MMLU Score
~75-79% ~80-84%
Release Date
2024 Jul 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Hardware dependent Varies (community capacity)
Daily Limit
Unlimited Subject to availability
Capabilities
Vision
No specific data
Performance Tier
B-Tier (Strong) A-Tier (Excellent)
Speed Estimate
Medium ⚡ Fast
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed 70B
Limitations
  • File sizes are large (contain weights)
  • CLI usage often required
  • Windows requires appending .exe
  • Availability depends on community GPU donors
  • Speed varies with demand
  • Models may be temporarily unavailable
Key Strengths
  • Executable weight files (multi-OS)
  • Integrated Web UI
  • OpenAI Compatible API server
  • Community-powered GPU network
  • Free access to large open-source models
  • OpenAI-compatible API format

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