Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Qwen 2.5

LLM7.io

Intelligence Score 65/100

Model Popularity 0 votes

Context Window 32K

Pricing Model Free / Open

View Provider Analysis →

Ollama

Intelligence Score 65/100

Context Window 128K tokens

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

Equal intelligence scores (65/100), but Phi-3.5 Mini offers a significantly larger context window.

Close Match: The difference is minimal. Consider other factors like pricing and features.

HEAD-TO-HEAD

Feature	Qwen 2.5	Phi-3.5 Mini
Context Window	32K	128K tokens
Architecture	Transformer (Open Weight)	Transformer
Est. MMLU Score	~60-64%	~60-64%
Release Date	Sep-Nov 2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	30 RPM (no signup) / 120 RPM (free email token)	Hardware limited
Daily Limit	Up to 5M tokens/day (rolling 24h, with free token)	Unlimited
Capabilities	No specific data	Reasoning
Performance Tier	C-Tier (Good)	C-Tier (Good)
Speed Estimate	Medium	⚡ Very Fast
Primary Use Case	General Purpose	⚡ Fast Chat & Apps
Model Size	Undisclosed	Undisclosed
Limitations	No signup tier is heavily rate-limited (30 RPM) Smaller, less well-known provider — verify uptime before production use	Depends on your RAM/GPU Laptop fans will spin up Large models (70B+) need heavy hardware
Key Strengths	Works with zero signup OpenAI-compatible endpoint — swap base_url + key No signup required for basic use	Local Inference: Data never leaves your device Modelfiles: Script your own system prompts API: Local REST API for app integration