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
View Provider Analysis →

Codestral

A-TIER

Mistral (La Plateforme)

Intelligence Score 86/100
Context Window 256k
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Codestral Wins

With an intelligence score of 86/100 vs 65/100, Codestral outperforms Phi-3.5 Mini by 21 points.

Clear Winner: Significant performance advantage for Codestral.
HEAD-TO-HEAD

Detailed Comparison

Feature
Phi-3.5 Mini
Codestral
Context Window
128K tokens 256k
Architecture
Transformer Transformer
Est. MMLU Score
~60-64% ~80-84%
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) A-Tier (Excellent)
Speed Estimate
⚡ Very Fast Medium
Primary Use Case
⚡ Fast Chat & Apps 💻 Code Generation
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

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