Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Jamba 1.5 Large

A-TIER

AI21 Labs

Intelligence Score 88/100
Model Popularity 0 votes
Context Window 256K
Pricing Model Commercial / Paid

Phi-4

A-TIER

GitHub Models

Intelligence Score 89/100
Context Window 128K
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Phi-4 Wins

With an intelligence score of 89/100 vs 88/100, Phi-4 outperforms Jamba 1.5 Large by 1 point.

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

Detailed Comparison

Feature
Jamba 1.5 Large
Phi-4
Context Window
256K 128K
Architecture
SSM-Transformer Hybrid (Mamba) Transformer
Est. MMLU Score
~80-84% ~80-84%
Release Date
2024 Dec 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
100 RPM Varies by Copilot Tier
Daily Limit
Credit-based Low
Capabilities
Reasoning
Reasoning
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
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)
  • Restrictive limits
  • Requires GitHub account
  • Rate limits vary by Copilot tier
Key Strengths
  • Jamba: SSM-Transformer Hybrid
  • 256K Context Window
  • Highly efficient inference
  • Prototyping

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