Battle of the Models

Compare specific LLM models, context windows, and capabilities.

AI21 Jamba 1.5 Large

A-TIER

GitHub Models

Intelligence Score 88/100

Model Popularity 0 votes

Context Window 256K

Pricing Model Free / Open

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A-TIER

DeepSeek

Intelligence Score 83/100

Context Window 1M

Pricing Model Commercial / Paid

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 88/100 vs 83/100, AI21 Jamba 1.5 Large outperforms DeepSeek-V4 Flash by 5 points.

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

HEAD-TO-HEAD

Feature	AI21 Jamba 1.5 Large	DeepSeek-V4 Flash
Context Window	256K	1M
Architecture	SSM-Transformer Hybrid (Mamba)	Dense Transformer
Est. MMLU Score	~80-84%	~75-79%
Release Date	2024	2024
Pricing Model	Free Tier	Paid / Commercial
Rate Limit (RPM)	10 RPM (high-tier) / higher for mini-tier	60 RPM
Daily Limit	50 RPD (high-tier models) / 150 RPD (mini-tier models)	Credit-based
Capabilities	No specific data	No specific data
Performance Tier	A-Tier (Excellent)	B-Tier (Strong)
Speed Estimate	Medium	⚡ Very Fast
Primary Use Case	General Purpose	⚡ Fast Chat & Apps
Model Size	Undisclosed	Undisclosed
Limitations	Restrictive limits Requires GitHub account Rate limits vary by Copilot tier	10M tokens is one-time only API can be slow during peak hours (Chinese business hours) Rate limiting during high demand periods
Key Strengths	Prototyping	DeepSeek-R1: OpenAI o1-level reasoning (open-source) Mixture-of-Experts architecture for efficiency OpenAI-compatible API (drop-in replacement)