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

Qwen3.5 72B Instruct

A-TIER

Hugging Face Inference

Intelligence Score 83/100
Context Window 128K
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Qwen3.5 72B Instruct Wins

With an intelligence score of 83/100 vs 82/100, Qwen3.5 72B Instruct outperforms Jamba 1.5 Mini 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 Mini
Qwen3.5 72B Instruct
Context Window
256K 128K
Architecture
SSM-Transformer Hybrid (Mamba) Transformer (Open Weight)
Est. MMLU Score
~75-79% ~75-79%
Release Date
2024 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
100 RPM 300 Requests / hour
Daily Limit
Credit-based Dependent on global load
Capabilities
No specific data
Chinese
Performance Tier
B-Tier (Strong) B-Tier (Strong)
Speed Estimate
⚡ Very Fast ⚡ Fast
Primary Use Case
⚡ Fast Chat & Apps General Purpose
Model Size
Undisclosed 72B
Limitations
  • Credits expire after 3 months
  • Unique architecture (check compatibility)
  • Focus on text (no vision yet)
  • Rate limited to ~300 request/hour for free users
  • Models larger than 10GB may not load
  • Cold starts can occur
Key Strengths
  • Jamba: SSM-Transformer Hybrid
  • 256K Context Window
  • Highly efficient inference
  • Serverless Inference
  • Instant Model Loading
  • Text Generation

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