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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LM Studio

Intelligence Score 65/100

Context Window Varies

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 88/100 vs 65/100, Jamba 1.5 Large outperforms Phi-3 (Any version) by 23 points.

Clear Winner: Significant performance advantage for Jamba 1.5 Large.

HEAD-TO-HEAD

Feature	Jamba 1.5 Large	Phi-3 (Any version)
Context Window	256K	Varies
Architecture	SSM-Transformer Hybrid (Mamba)	Transformer
Est. MMLU Score	~80-84%	~60-64%
Release Date	2024	2024
Pricing Model	Paid / Commercial	Free Tier
Rate Limit (RPM)	100 RPM	Hardware limited
Daily Limit	Credit-based	Unlimited
Capabilities	Reasoning	No specific data
Performance Tier	A-Tier (Excellent)	C-Tier (Good)
Speed Estimate	Medium	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	Undisclosed	Undisclosed
Limitations	Credits expire after 3 months Unique architecture (check compatibility) Focus on text (no vision yet)	Closed source application Large downloads Hardware dependent performance
Key Strengths	Jamba: SSM-Transformer Hybrid 256K Context Window Highly efficient inference	Model Discovery: Built-in search of HuggingFace GGUF Support: Optimized quantized models GPU Offload: Mix CPU/GPU layers