Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Phi-3.5 Mini

Ollama

Intelligence Score 65/100

Model Popularity 0 votes

Context Window 128K tokens

Pricing Model Free / Open

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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 65/100, Jamba Large outperforms Phi-3.5 Mini by 20 points.

Clear Winner: Significant performance advantage for Jamba Large.

HEAD-TO-HEAD

Feature	Phi-3.5 Mini	Jamba Large
Context Window	128K tokens	Varies
Architecture	Transformer	SSM-Transformer Hybrid (Mamba)
Est. MMLU Score	~60-64%	~80-84%
Release Date	2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	Hardware limited	100 RPM
Daily Limit	Unlimited	Credit-based
Capabilities	Reasoning	No specific data
Performance Tier	C-Tier (Good)	A-Tier (Excellent)
Speed Estimate	⚡ Very Fast	Medium
Primary Use Case	⚡ Fast Chat & Apps	General Purpose
Model Size	Undisclosed	Undisclosed
Limitations	Depends on your RAM/GPU Laptop fans will spin up Large models (70B+) need heavy hardware	Credits expire after 3 months Unique architecture (check compatibility) Focus on text (no vision yet)
Key Strengths	Local Inference: Data never leaves your device Modelfiles: Script your own system prompts API: Local REST API for app integration	Jamba: SSM-Transformer Hybrid 256K Context Window Highly efficient inference