Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Jamba Large

A-TIER

AI21 Labs

Intelligence Score 85/100

Model Popularity 0 votes

Context Window Varies

Pricing Model Free / Open

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Cloudflare Workers AI

Intelligence Score 70/100

Context Window 2K

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 85/100 vs 70/100, Jamba Large outperforms Phi-2 by 15 points.

Clear Winner: Significant performance advantage for Jamba Large.

HEAD-TO-HEAD

Feature	Jamba Large	Phi-2
Context Window	Varies	2K
Architecture	SSM-Transformer Hybrid (Mamba)	Transformer
Est. MMLU Score	~80-84%	~65-69%
Release Date	2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	100 RPM	Varies by model
Daily Limit	Credit-based	10,000 neurons/day
Capabilities	No specific data	Reasoning
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)	10,000 neurons/day cap (varies per model) Larger models consume more neurons per request No fine-tuning support
Key Strengths	Jamba: SSM-Transformer Hybrid 256K Context Window Highly efficient inference	Edge inference: runs closest to user 50+ models: LLM, image gen, classification, speech Workers integration for serverless apps