Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Jamba 1.5 Large

A-TIER

AI21 Labs

Intelligence Score 88/100

Model Popularity 0 votes

Context Window 256K

Pricing Model Commercial / Paid

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A-TIER

Replicate

Intelligence Score 83/100

Context Window 8K tokens

Pricing Model Commercial / Paid

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 88/100 vs 83/100, Jamba 1.5 Large outperforms meta/llama-3-70b-instruct by 5 points.

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

HEAD-TO-HEAD

Feature	Jamba 1.5 Large	meta/llama-3-70b-instruct
Context Window	256K	8K tokens
Architecture	SSM-Transformer Hybrid (Mamba)	Transformer (Open Weight)
Est. MMLU Score	~80-84%	~75-79%
Release Date	2024	2024
Pricing Model	Paid / Commercial	Paid / Commercial
Rate Limit (RPM)	100 RPM	Varies by model
Daily Limit	Credit-based	Credit-based
Capabilities	Reasoning	No specific data
Performance Tier	A-Tier (Excellent)	B-Tier (Strong)
Speed Estimate	Medium	⚡ Fast
Primary Use Case	General Purpose	General Purpose
Model Size	Undisclosed	70b
Limitations	Credits expire after 3 months Unique architecture (check compatibility) Focus on text (no vision yet)	Pay-per-second billing (can be expensive) Cold starts for less popular models Trial credits are minimal
Key Strengths	Jamba: SSM-Transformer Hybrid 256K Context Window Highly efficient inference	Run any public model with an API Fine-tune existing models easily Cold boots can be slow for unpopular models