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

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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 91/100 vs 88/100, Qwen 2.5 72B Instruct outperforms Jamba 1.5 Large by 3 points.

Close Match: The difference is minimal. Consider other factors like pricing and features.

HEAD-TO-HEAD

Feature	Qwen 2.5 72B Instruct	Jamba 1.5 Large
Context Window	32K	256K
Architecture	Transformer (Open Weight)	SSM-Transformer Hybrid (Mamba)
Est. MMLU Score	~85-87%	~80-84%
Release Date	Sep-Nov 2024	2024
Pricing Model	Free Tier	Paid / Commercial
Rate Limit (RPM)	Varies (community capacity)	100 RPM
Daily Limit	Subject to availability	Credit-based
Capabilities	No specific data	Reasoning
Performance Tier	A-Tier (Excellent)	A-Tier (Excellent)
Speed Estimate	⚡ Fast	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	72B	Undisclosed
Limitations	Availability depends on community GPU donors Speed varies with demand Models may be temporarily unavailable	Credits expire after 3 months Unique architecture (check compatibility) Focus on text (no vision yet)
Key Strengths	Community-powered GPU network Free access to large open-source models OpenAI-compatible API format	Jamba: SSM-Transformer Hybrid 256K Context Window Highly efficient inference