Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Mistral Large (24.11)

S-TIER

GitHub Models

Intelligence Score 90/100
Model Popularity 0 votes
Context Window 128K
Pricing Model Free / Open
View Provider Analysis →

Phi-3.5 Mini

Ollama

Intelligence Score 65/100
Context Window 128K tokens
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Mistral Large (24.11) Wins

With an intelligence score of 90/100 vs 65/100, Mistral Large (24.11) outperforms Phi-3.5 Mini by 25 points.

Clear Winner: Significant performance advantage for Mistral Large (24.11).
HEAD-TO-HEAD

Detailed Comparison

Feature
Mistral Large (24.11)
Phi-3.5 Mini
Context Window
128K 128K tokens
Architecture
Transformer (Open Weight) Transformer
Est. MMLU Score
~85-87% ~60-64%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Varies by Copilot Tier Hardware limited
Daily Limit
Low Unlimited
Capabilities
Reasoning Multilingual
Reasoning
Performance Tier
A-Tier (Excellent) C-Tier (Good)
Speed Estimate
Medium ⚡ Very Fast
Primary Use Case
General Purpose ⚡ Fast Chat & Apps
Model Size
Undisclosed Undisclosed
Limitations
  • Restrictive limits
  • Requires GitHub account
  • Rate limits vary by Copilot tier
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
Key Strengths
  • Prototyping
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration

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