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 →

A-TIER

Cloudflare Workers AI

Intelligence Score 83/100

Context Window 16K

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 91/100 vs 83/100, Qwen 2.5 72B Instruct outperforms DeepSeek Coder 6.7B by 8 points.

HEAD-TO-HEAD

Feature	Qwen 2.5 72B Instruct	DeepSeek Coder 6.7B
Context Window	32K	16K
Architecture	Transformer (Open Weight)	Dense Transformer
Est. MMLU Score	~85-87%	~75-79%
Release Date	Sep-Nov 2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	Varies (community capacity)	Varies by model
Daily Limit	Subject to availability	10,000 neurons/day
Capabilities	No specific data	Code
Performance Tier	A-Tier (Excellent)	B-Tier (Strong)
Speed Estimate	⚡ Fast	⚡ Very Fast
Primary Use Case	General Purpose	💻 Code Generation
Model Size	72B	6.7B
Limitations	Availability depends on community GPU donors Speed varies with demand Models may be temporarily unavailable	10,000 neurons/day cap (varies per model) Larger models consume more neurons per request No fine-tuning support
Key Strengths	Community-powered GPU network Free access to large open-source models OpenAI-compatible API format	Edge inference: runs closest to user 50+ models: LLM, image gen, classification, speech Workers integration for serverless apps