Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Jamba 1.5 Mini

A-TIER

AI21 Labs

Intelligence Score 82/100
Model Popularity 0 votes
Context Window 256K
Pricing Model Commercial / Paid

Any HuggingFace Model

Cerebrium

Intelligence Score 65/100
Context Window Model-dependent
Pricing Model Commercial / Paid
Model Popularity 0 votes
FINAL VERDICT

Jamba 1.5 Mini Wins

With an intelligence score of 82/100 vs 65/100, Jamba 1.5 Mini outperforms Any HuggingFace Model by 17 points.

Clear Winner: Significant performance advantage for Jamba 1.5 Mini.
HEAD-TO-HEAD

Detailed Comparison

Feature
Jamba 1.5 Mini
Any HuggingFace Model
Context Window
256K Model-dependent
Architecture
SSM-Transformer Hybrid (Mamba) Transformer
Est. MMLU Score
~75-79% ~60-64%
Release Date
2024 2024
Pricing Model
Paid / Commercial Paid / Commercial
Rate Limit (RPM)
100 RPM Pay-per-second compute
Daily Limit
Credit-based Credit-based
Capabilities
No specific data
No specific data
Performance Tier
B-Tier (Strong) C-Tier (Good)
Speed Estimate
⚡ Very Fast Medium
Primary Use Case
⚡ Fast Chat & Apps General Purpose
Model Size
Undisclosed Undisclosed
Limitations
  • Credits expire after 3 months
  • Unique architecture (check compatibility)
  • Focus on text (no vision yet)
  • $30 is one-time trial credits
  • Requires some DevOps knowledge
  • Cold starts for serverless models
Key Strengths
  • Jamba: SSM-Transformer Hybrid
  • 256K Context Window
  • Highly efficient inference
  • Deploy any HuggingFace model
  • Serverless GPU infrastructure
  • Auto-scaling (scale to zero)

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