Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Snoozy

GPT4All

Intelligence Score 65/100

Model Popularity 0 votes

Context Window Local

Pricing Model Free / Open

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S-TIER

Chutes.ai

Intelligence Score 91/100

Context Window 32K

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 91/100 vs 65/100, Qwen 2.5 72B Instruct outperforms Snoozy by 26 points.

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

HEAD-TO-HEAD

Feature	Snoozy	Qwen 2.5 72B Instruct
Context Window	Local	32K
Architecture	Transformer	Transformer (Open Weight)
Est. MMLU Score	~60-64%	~85-87%
Release Date	2024	Sep-Nov 2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	Hardware dependent	Varies (community capacity)
Daily Limit	Unlimited	Subject to availability
Capabilities	No specific data	No specific data
Performance Tier	C-Tier (Good)	A-Tier (Excellent)
Speed Estimate	Medium	⚡ Fast
Primary Use Case	General Purpose	General Purpose
Model Size	Undisclosed	72B
Limitations	Slower than GPU inference Limited to supported quantized formats UI is basic	Availability depends on community GPU donors Speed varies with demand Models may be temporarily unavailable
Key Strengths	LocalDocs: Chat with your files privately Nomic Embed Text: High quality embeddings CPU Optimized (AVX2)	Community-powered GPU network Free access to large open-source models OpenAI-compatible API format