Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Qwen 2.5 72B Instruct

S-TIER

Chutes.ai

Intelligence Score 91/100

Model Popularity 0 votes

Context Window 32K

Pricing Model Free / Open

View Provider Analysis →

OpenRouter

Intelligence Score 65/100

Context Window 128k

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 91/100 vs 65/100, Qwen 2.5 72B Instruct outperforms DeepSeek: R1 (free) by 26 points.

Clear Winner: Significant performance advantage for Qwen 2.5 72B Instruct.

HEAD-TO-HEAD

Feature	Qwen 2.5 72B Instruct	DeepSeek: R1 (free)
Context Window	32K	128k
Architecture	Transformer (Open Weight)	Dense Transformer
Est. MMLU Score	~85-87%	~60-64%
Release Date	Sep-Nov 2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	Varies (community capacity)	20 requests/minute
Daily Limit	Subject to availability	50 requests/day (up to 1000 with $10 topup)
Capabilities	No specific data	No specific data
Performance Tier	A-Tier (Excellent)	C-Tier (Good)
Speed Estimate	⚡ Fast	🐢 Slower (Reasoning)
Primary Use Case	General Purpose	🧠 Complex Reasoning
Model Size	72B	Undisclosed
Limitations	Availability depends on community GPU donors Speed varies with demand Models may be temporarily unavailable	Limits depend on account history/topup Community key models Free models have lower priority during peak demand
Key Strengths	Community-powered GPU network Free access to large open-source models OpenAI-compatible API format	Unified API for 100+ models from all providers OpenAI-compatible endpoint (drop-in replacement) Automatic model fallback and routing