Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

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 Nemo 12B

A-TIER

Ollama

Intelligence Score 84/100
Context Window 32K tokens
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Mistral Nemo 12B Wins

With an intelligence score of 84/100 vs 81/100, Mistral Nemo 12B outperforms LLaVA 1.5 by 3 points.

Close Match: The difference is minimal. Consider other factors like pricing and features.
HEAD-TO-HEAD

Detailed Comparison

Feature
LLaVA 1.5
Mistral Nemo 12B
Context Window
Local 32K tokens
Architecture
Transformer Transformer (Open Weight)
Est. MMLU Score
~75-79% ~75-79%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Hardware dependent Hardware limited
Daily Limit
Unlimited Unlimited
Capabilities
Vision
Multilingual
Performance Tier
B-Tier (Strong) B-Tier (Strong)
Speed Estimate
Medium Medium
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed 12B
Limitations
  • File sizes are large (contain weights)
  • CLI usage often required
  • Windows requires appending .exe
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
Key Strengths
  • Executable weight files (multi-OS)
  • Integrated Web UI
  • OpenAI Compatible API server
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration

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