Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Phi-3.5 Mini

Ollama

Intelligence Score 65/100
Model Popularity 0 votes
Context Window 128K tokens
Pricing Model Free / Open

Mistral Nemo

A-TIER

Mistral (La Plateforme)

Intelligence Score 80/100
Context Window 128k
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Mistral Nemo Wins

With an intelligence score of 80/100 vs 65/100, Mistral Nemo outperforms Phi-3.5 Mini by 15 points.

Clear Winner: Significant performance advantage for Mistral Nemo.
HEAD-TO-HEAD

Detailed Comparison

Feature
Phi-3.5 Mini
Mistral Nemo
Context Window
128K tokens 128k
Architecture
Transformer Transformer (Open Weight)
Est. MMLU Score
~60-64% ~75-79%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Hardware limited 1 request/second
Daily Limit
Unlimited -
Capabilities
Reasoning
No specific data
Performance Tier
C-Tier (Good) B-Tier (Strong)
Speed Estimate
âš¡ Very Fast Medium
Primary Use Case
âš¡ Fast Chat & Apps General Purpose
Model Size
Undisclosed Undisclosed
Limitations
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
  • Phone verification required
  • Data training opt-in required
  • 1 request/second rate limit
Key Strengths
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration
  • Access to Mistral's open-weight models
  • OpenAI-compatible API endpoints
  • Function calling support

Similar Comparisons