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 →

A-TIER

OpenRouter

Intelligence Score 83/100

Context Window 32k

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 83/100 vs 65/100, Qwen 2.5 VL 72B Instruct (free) outperforms Qwen 2.5 by 18 points.

Clear Winner: Significant performance advantage for Qwen 2.5 VL 72B Instruct (free).

HEAD-TO-HEAD

Feature	Qwen 2.5	Qwen 2.5 VL 72B Instruct (free)
Context Window	32K	32k
Architecture	Transformer (Open Weight)	Transformer (Open Weight)
Est. MMLU Score	~60-64%	~75-79%
Release Date	Sep-Nov 2024	Sep-Nov 2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	30 RPM (no signup) / 120 RPM (free email token)	20 requests/minute
Daily Limit	Up to 5M tokens/day (rolling 24h, with free token)	50 requests/day (up to 1000 with $10 topup)
Capabilities	No specific data	No specific data
Performance Tier	C-Tier (Good)	B-Tier (Strong)
Speed Estimate	Medium	⚡ Fast
Primary Use Case	General Purpose	👁️ Vision & Multimodal
Model Size	Undisclosed	72B
Limitations	No signup tier is heavily rate-limited (30 RPM) Smaller, less well-known provider — verify uptime before production use	Limits depend on account history/topup Community key models Free models have lower priority during peak demand
Key Strengths	Works with zero signup OpenAI-compatible endpoint — swap base_url + key No signup required for basic use	Unified API for 100+ models from all providers OpenAI-compatible endpoint (drop-in replacement) Automatic model fallback and routing