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

DeepInfra

Intelligence Score 89/100

Context Window 64K

Pricing Model Commercial / Paid

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 89/100 vs 88/100, Mixtral 8x22B Instruct outperforms Jamba 1.5 Large by 1 point.

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

HEAD-TO-HEAD

Feature	Jamba 1.5 Large	Mixtral 8x22B Instruct
Context Window	256K	64K
Architecture	SSM-Transformer Hybrid (Mamba)	Mixture of Experts (MoE)
Est. MMLU Score	~80-84%	~80-84%
Release Date	2024	2024
Pricing Model	Paid / Commercial	Paid / Commercial
Rate Limit (RPM)	100 RPM	60 RPM (varies by model)
Daily Limit	Credit-based	Credit-based (no daily cap)
Capabilities	Reasoning	Reasoning Multilingual
Performance Tier	A-Tier (Excellent)	A-Tier (Excellent)
Speed Estimate	Medium	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	Undisclosed	22B
Limitations	Credits expire after 3 months Unique architecture (check compatibility) Focus on text (no vision yet)	$5 credit is one-time only Credits expire after 90 days Rate limits vary by model
Key Strengths	Jamba: SSM-Transformer Hybrid 256K Context Window Highly efficient inference	OpenAI-compatible API (drop-in replacement) 40+ open-source models hosted Fast inference with optimized serving