Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Phi-3.5 Mini

Ollama

Intelligence Score 65/100
Model Popularity 0 votes
Context Window 128K tokens
Pricing Model Free / Open
View Provider Analysis →

Jamba 1.5 Large

A-TIER

AI21 Labs

Intelligence Score 88/100
Context Window 256K
Pricing Model Commercial / Paid
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Jamba 1.5 Large Wins

With an intelligence score of 88/100 vs 65/100, Jamba 1.5 Large outperforms Phi-3.5 Mini by 23 points.

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

Detailed Comparison

Feature
Phi-3.5 Mini
Jamba 1.5 Large
Context Window
128K tokens 256K
Architecture
Transformer SSM-Transformer Hybrid (Mamba)
Est. MMLU Score
~60-64% ~80-84%
Release Date
2024 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
Hardware limited 100 RPM
Daily Limit
Unlimited Credit-based
Capabilities
Reasoning
Reasoning
Performance Tier
C-Tier (Good) A-Tier (Excellent)
Speed Estimate
âš¡ Very Fast Medium
Primary Use Case
âš¡ Fast Chat & Apps General Purpose
Model Size
Undisclosed Undisclosed
Limitations
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
  • Credits expire after 3 months
  • Unique architecture (check compatibility)
  • Focus on text (no vision yet)
Key Strengths
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration
  • Jamba: SSM-Transformer Hybrid
  • 256K Context Window
  • Highly efficient inference

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