Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Llama 4 Scout Instruct (Free)

A-TIER

Together.AI

Intelligence Score 87/100
Model Popularity 0 votes
Context Window 512K tokens
Pricing Model Free / Open

Jamba Large

A-TIER

AI21 Labs

Intelligence Score 85/100
Context Window Varies
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Llama 4 Scout Instruct (Free) Wins

With an intelligence score of 87/100 vs 85/100, Llama 4 Scout Instruct (Free) outperforms Jamba Large by 2 points.

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

Detailed Comparison

Feature
Llama 4 Scout Instruct (Free)
Jamba Large
Context Window
512K tokens Varies
Architecture
Transformer (Open Weight) SSM-Transformer Hybrid (Mamba)
Est. MMLU Score
~80-84% ~80-84%
Release Date
2026 (Latest) 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Subject to availability 100 RPM
Daily Limit
Unlimited (Research Preview) Credit-based
Capabilities
Multimodal
No specific data
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
Speed Estimate
⚡ Very Fast Medium
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed Undisclosed
Limitations
  • Limited to specific free models
  • Research preview availability
  • Credits expire after 3 months
  • Unique architecture (check compatibility)
  • Focus on text (no vision yet)
Key Strengths
  • Host of specific free research models
  • Open-weight model hosting
  • Access to ServiceNow Apriel models
  • Jamba: SSM-Transformer Hybrid
  • 256K Context Window
  • Highly efficient inference

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