Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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VS
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Jamba 1.5 Large

DEPRECATED

AI21 Labs

This model is no longer active/free — kept for reference.

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

Qwen 2.5 72B Instruct

DEPRECATED

Chutes.ai

This model is no longer active/free — kept for reference.

Intelligence Score 91/100
Context Window 32K
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Qwen 2.5 72B Instruct Wins

With an intelligence score of 91/100 vs 88/100, Qwen 2.5 72B Instruct outperforms Jamba 1.5 Large by 3 points.

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

Detailed Comparison

Feature
Jamba 1.5 Large
Qwen 2.5 72B Instruct
Context Window
256K 32K
Architecture
SSM-Transformer Hybrid (Mamba) Transformer (Open Weight)
Est. MMLU Score
~80-84% ~85-87%
Release Date
2024 Sep-Nov 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
100 RPM Varies (community capacity)
Daily Limit
Credit-based Subject to availability
Capabilities
Reasoning
No specific data
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
Speed Estimate
Medium ⚡ Fast
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed 72B
Limitations
  • Credits expire after 3 months
  • Unique architecture (check compatibility)
  • Focus on text (no vision yet)
  • Availability depends on community GPU donors
  • Speed varies with demand
  • Models may be temporarily unavailable
Key Strengths
  • Jamba: SSM-Transformer Hybrid
  • 256K Context Window
  • Highly efficient inference
  • Community-powered GPU network
  • Free access to large open-source models
  • OpenAI-compatible API format

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