Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

TinyLlama

llamafile

Intelligence Score 64/100
Model Popularity 0 votes
Context Window Local
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 64/100, Jamba 1.5 Mini outperforms TinyLlama by 18 points.

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

Detailed Comparison

Feature
TinyLlama
Jamba 1.5 Mini
Context Window
Local 256K
Architecture
Transformer (Open Weight) SSM-Transformer Hybrid (Mamba)
Est. MMLU Score
~60-64% ~75-79%
Release Date
2024 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
Hardware dependent 100 RPM
Daily Limit
Unlimited Credit-based
Capabilities
No specific data
No specific data
Performance Tier
C-Tier (Good) B-Tier (Strong)
Speed Estimate
Medium ⚡ Very Fast
Primary Use Case
General Purpose ⚡ Fast Chat & Apps
Model Size
Undisclosed Undisclosed
Limitations
  • File sizes are large (contain weights)
  • CLI usage often required
  • Windows requires appending .exe
  • Credits expire after 3 months
  • Unique architecture (check compatibility)
  • Focus on text (no vision yet)
Key Strengths
  • Executable weight files (multi-OS)
  • Integrated Web UI
  • OpenAI Compatible API server
  • Jamba: SSM-Transformer Hybrid
  • 256K Context Window
  • Highly efficient inference

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