Battle of the Models

Compare specific LLM models, context windows, and capabilities.

TinyLlama

llamafile

Intelligence Score 64/100

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

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 91/100 vs 64/100, Qwen 2.5 72B Instruct outperforms TinyLlama by 27 points.

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

HEAD-TO-HEAD

Feature	TinyLlama	Qwen 2.5 72B Instruct
Context Window	Local	32K
Architecture	Transformer (Open Weight)	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	File sizes are large (contain weights) CLI usage often required Windows requires appending .exe	Availability depends on community GPU donors Speed varies with demand Models may be temporarily unavailable
Key Strengths	Executable weight files (multi-OS) Integrated Web UI OpenAI Compatible API server	Community-powered GPU network Free access to large open-source models OpenAI-compatible API format