Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Phi-2

Cloudflare Workers AI

Intelligence Score 70/100

Model Popularity 0 votes

Context Window 2K

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 70/100, Jamba 1.5 Large outperforms Phi-2 by 18 points.

Clear Winner: Significant performance advantage for Jamba 1.5 Large.

HEAD-TO-HEAD

Feature	Phi-2	Jamba 1.5 Large
Context Window	2K	256K
Architecture	Transformer	SSM-Transformer Hybrid (Mamba)
Est. MMLU Score	~65-69%	~80-84%
Release Date	2024	2024
Pricing Model	Free Tier	Paid / Commercial
Rate Limit (RPM)	Varies by model	100 RPM
Daily Limit	10,000 neurons/day	Credit-based
Capabilities	Reasoning	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	10,000 neurons/day cap (varies per model) Larger models consume more neurons per request No fine-tuning support	Credits expire after 3 months Unique architecture (check compatibility) Focus on text (no vision yet)
Key Strengths	Edge inference: runs closest to user 50+ models: LLM, image gen, classification, speech Workers integration for serverless apps	Jamba: SSM-Transformer Hybrid 256K Context Window Highly efficient inference