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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A-TIER

LLM7.io

Intelligence Score 80/100

Context Window 128K Context

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 80/100 vs 65/100, Mistral Nemo Instruct 2407 outperforms Phi-3.5 Mini by 15 points.

Clear Winner: Significant performance advantage for Mistral Nemo Instruct 2407.

HEAD-TO-HEAD

Feature	Phi-3.5 Mini	Mistral Nemo Instruct 2407
Context Window	128K tokens	128K Context
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	30 RPM (no signup) / 120 RPM (free email token)
Daily Limit	Unlimited	Up to 5M tokens/day (rolling 24h, with free token)
Capabilities	Reasoning	No specific data
Performance Tier	C-Tier (Good)	B-Tier (Strong)
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	No signup tier is heavily rate-limited (30 RPM) Smaller, less well-known provider — verify uptime before production use
Key Strengths	Local Inference: Data never leaves your device Modelfiles: Script your own system prompts API: Local REST API for app integration	Works with zero signup OpenAI-compatible endpoint — swap base_url + key No signup required for basic use