Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Phi-3.5 Mini

Ollama

Intelligence Score 65/100

Model Popularity 0 votes

Context Window 128K tokens

Pricing Model Free / Open

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S-TIER

GitHub Models

Intelligence Score 90/100

Context Window 128K

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

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

Feature	Phi-3.5 Mini	Mistral Large (24.11)
Context Window	128K tokens	128K
Architecture	Transformer	Transformer (Open Weight)
Est. MMLU Score	~60-64%	~85-87%
Release Date	2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	Hardware limited	10 RPM (high-tier) / higher for mini-tier
Daily Limit	Unlimited	50 RPD (high-tier models) / 150 RPD (mini-tier models)
Capabilities	Reasoning	Reasoning Multilingual
Performance Tier	C-Tier (Good)	A-Tier (Excellent)
Speed Estimate	⚡ Very Fast	Medium
Primary Use Case	⚡ 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	Restrictive limits Requires GitHub account Rate limits vary by Copilot tier
Key Strengths	Local Inference: Data never leaves your device Modelfiles: Script your own system prompts API: Local REST API for app integration	Prototyping