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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A-TIER

Ollama

Intelligence Score 84/100

Context Window 32K tokens

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 88/100 vs 84/100, Jamba 1.5 Large outperforms Mistral Nemo 12B by 4 points.

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

HEAD-TO-HEAD

Feature	Jamba 1.5 Large	Mistral Nemo 12B
Context Window	256K	32K tokens
Architecture	SSM-Transformer Hybrid (Mamba)	Transformer (Open Weight)
Est. MMLU Score	~80-84%	~75-79%
Release Date	2024	2024
Pricing Model	Paid / Commercial	Free Tier
Rate Limit (RPM)	100 RPM	Hardware limited
Daily Limit	Credit-based	Unlimited
Capabilities	Reasoning	Multilingual
Performance Tier	A-Tier (Excellent)	B-Tier (Strong)
Speed Estimate	Medium	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	Undisclosed	12B
Limitations	Credits expire after 3 months Unique architecture (check compatibility) Focus on text (no vision yet)	Depends on your RAM/GPU Laptop fans will spin up Large models (70B+) need heavy hardware
Key Strengths	Jamba: SSM-Transformer Hybrid 256K Context Window Highly efficient inference	Local Inference: Data never leaves your device Modelfiles: Script your own system prompts API: Local REST API for app integration