Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Phi-2

Cloudflare Workers AI

Intelligence Score 70/100
Model Popularity 0 votes
Context Window 2K
Pricing Model Free / Open
View Provider Analysis →

Jamba 1.5 Mini

A-TIER

AI21 Labs

Intelligence Score 82/100
Context Window 256K
Pricing Model Commercial / Paid
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Jamba 1.5 Mini Wins

With an intelligence score of 82/100 vs 70/100, Jamba 1.5 Mini outperforms Phi-2 by 12 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Phi-2
Jamba 1.5 Mini
Context Window
2K 256K
Architecture
Transformer SSM-Transformer Hybrid (Mamba)
Est. MMLU Score
~65-69% ~75-79%
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
No specific data
Performance Tier
C-Tier (Good) B-Tier (Strong)
Speed Estimate
Medium âš¡ Very Fast
Primary Use Case
General Purpose âš¡ Fast Chat & Apps
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

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