Battle of the Models

Compare specific LLM models, context windows, and capabilities.

DeepSeek-V4 Pro

A-TIER

DeepSeek

Intelligence Score 80/100

Model Popularity 0 votes

Context Window 128K

Pricing Model Commercial / Paid

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A-TIER

AI21 Labs

Intelligence Score 85/100

Context Window Varies

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 85/100 vs 80/100, Jamba Mini outperforms DeepSeek-V4 Pro by 5 points.

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

HEAD-TO-HEAD

Feature	DeepSeek-V4 Pro	Jamba Mini
Context Window	128K	Varies
Architecture	Dense Transformer	SSM-Transformer Hybrid (Mamba)
Est. MMLU Score	~75-79%	~80-84%
Release Date	2024	2024
Pricing Model	Paid / Commercial	Free Tier
Rate Limit (RPM)	60 RPM	100 RPM
Daily Limit	Credit-based	Credit-based
Capabilities	No specific data	No specific data
Performance Tier	B-Tier (Strong)	A-Tier (Excellent)
Speed Estimate	Medium	⚡ Very Fast
Primary Use Case	General Purpose	⚡ Fast Chat & Apps
Model Size	Undisclosed	Undisclosed
Limitations	10M tokens is one-time only API can be slow during peak hours (Chinese business hours) Rate limiting during high demand periods	Credits expire after 3 months Unique architecture (check compatibility) Focus on text (no vision yet)
Key Strengths	DeepSeek-R1: OpenAI o1-level reasoning (open-source) Mixture-of-Experts architecture for efficiency OpenAI-compatible API (drop-in replacement)	Jamba: SSM-Transformer Hybrid 256K Context Window Highly efficient inference