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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A-TIER

AI21 Labs

Intelligence Score 88/100

Context Window 256K

Pricing Model Commercial / Paid

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 88/100 vs 64/100, Jamba 1.5 Large outperforms TinyLlama by 24 points.

Clear Winner: Significant performance advantage for Jamba 1.5 Large.

HEAD-TO-HEAD

Feature	TinyLlama	Jamba 1.5 Large
Context Window	Local	256K
Architecture	Transformer (Open Weight)	SSM-Transformer Hybrid (Mamba)
Est. MMLU Score	~60-64%	~80-84%
Release Date	2024	2024
Pricing Model	Free Tier	Paid / Commercial
Rate Limit (RPM)	Hardware dependent	100 RPM
Daily Limit	Unlimited	Credit-based
Capabilities	No specific data	Reasoning
Performance Tier	C-Tier (Good)	A-Tier (Excellent)
Speed Estimate	Medium	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	Undisclosed	Undisclosed
Limitations	File sizes are large (contain weights) CLI usage often required Windows requires appending .exe	Credits expire after 3 months Unique architecture (check compatibility) Focus on text (no vision yet)
Key Strengths	Executable weight files (multi-OS) Integrated Web UI OpenAI Compatible API server	Jamba: SSM-Transformer Hybrid 256K Context Window Highly efficient inference