Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Dolphin Mixtral

Venice.ai

Intelligence Score 65/100

Model Popularity 0 votes

Context Window 32K tokens

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 88/100 vs 65/100, Jamba 1.5 Large outperforms Dolphin Mixtral by 23 points.

Clear Winner: Significant performance advantage for Jamba 1.5 Large.

HEAD-TO-HEAD

Feature	Dolphin Mixtral	Jamba 1.5 Large
Context Window	32K tokens	256K
Architecture	Mixture of Experts (MoE)	SSM-Transformer Hybrid (Mamba)
Est. MMLU Score	~60-64%	~80-84%
Release Date	2024	2024
Pricing Model	Free Tier	Paid / Commercial
Rate Limit (RPM)	10 RPM (free tier)	100 RPM
Daily Limit	Limited daily usage	Credit-based
Capabilities	No specific data	Reasoning
Performance Tier	C-Tier (Good)	A-Tier (Excellent)
Speed Estimate	Medium	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	Undisclosed	Undisclosed
Limitations	Free tier has speed/rate limits Pro subscription needed for 405B speed Decentralized network variance	Credits expire after 3 months Unique architecture (check compatibility) Focus on text (no vision yet)
Key Strengths	Zero-Knowledge Proofs for privacy Uncensored model options Decentralized compute network	Jamba: SSM-Transformer Hybrid 256K Context Window Highly efficient inference