Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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AI21 Jamba 1.5 Large

A-TIER

GitHub Models

Intelligence Score 88/100
Model Popularity 0 votes
Context Window 256K
Pricing Model Free / Open

Llama 3.1 405B

S-TIER

Venice.ai

Intelligence Score 91/100
Context Window 128K tokens
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Llama 3.1 405B Wins

With an intelligence score of 91/100 vs 88/100, Llama 3.1 405B outperforms AI21 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
AI21 Jamba 1.5 Large
Llama 3.1 405B
Context Window
256K 128K tokens
Architecture
SSM-Transformer Hybrid (Mamba) Transformer (Open Weight)
Est. MMLU Score
~80-84% ~85-87%
Release Date
2024 Jul 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Varies by Copilot Tier 10 RPM (free tier)
Daily Limit
Low Limited daily usage
Capabilities
No specific data
Reasoning
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
Speed Estimate
Medium 🐢 Slower (Reasoning)
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed 405B
Limitations
  • Restrictive limits
  • Requires GitHub account
  • Rate limits vary by Copilot tier
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
Key Strengths
  • Prototyping
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network

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