Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Llama 3.1 (Deployable)

Cerebrium

Intelligence Score 65/100
Model Popularity 0 votes
Context Window 128K
Pricing Model Commercial / Paid

LLaVA 1.5

A-TIER

llamafile

Intelligence Score 81/100
Context Window Local
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

LLaVA 1.5 Wins

With an intelligence score of 81/100 vs 65/100, LLaVA 1.5 outperforms Llama 3.1 (Deployable) by 16 points.

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

Detailed Comparison

Feature
Llama 3.1 (Deployable)
LLaVA 1.5
Context Window
128K Local
Architecture
Transformer (Open Weight) Transformer
Est. MMLU Score
~60-64% ~75-79%
Release Date
Jul 2024 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
Pay-per-second compute Hardware dependent
Daily Limit
Credit-based Unlimited
Capabilities
No specific data
Vision
Performance Tier
C-Tier (Good) B-Tier (Strong)
Speed Estimate
Medium Medium
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed Undisclosed
Limitations
  • $30 is one-time trial credits
  • Requires some DevOps knowledge
  • Cold starts for serverless models
  • File sizes are large (contain weights)
  • CLI usage often required
  • Windows requires appending .exe
Key Strengths
  • Deploy any HuggingFace model
  • Serverless GPU infrastructure
  • Auto-scaling (scale to zero)
  • Executable weight files (multi-OS)
  • Integrated Web UI
  • OpenAI Compatible API server

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