Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Phi-4

A-TIER

GitHub Models

Intelligence Score 89/100
Model Popularity 0 votes
Context Window 128K
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

Phi-4 Wins

With an intelligence score of 89/100 vs 82/100, Phi-4 outperforms Jamba 1.5 Mini by 7 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Phi-4
Jamba 1.5 Mini
Context Window
128K 256K
Architecture
Transformer SSM-Transformer Hybrid (Mamba)
Est. MMLU Score
~80-84% ~75-79%
Release Date
Dec 2024 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
Varies by Copilot Tier 100 RPM
Daily Limit
Low Credit-based
Capabilities
Reasoning
No specific data
Performance Tier
A-Tier (Excellent) B-Tier (Strong)
Speed Estimate
Medium âš¡ Very Fast
Primary Use Case
General Purpose âš¡ Fast Chat & Apps
Model Size
Undisclosed Undisclosed
Limitations
  • Restrictive limits
  • Requires GitHub account
  • Rate limits vary by Copilot tier
  • Credits expire after 3 months
  • Unique architecture (check compatibility)
  • Focus on text (no vision yet)
Key Strengths
  • Prototyping
  • Jamba: SSM-Transformer Hybrid
  • 256K Context Window
  • Highly efficient inference

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