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
View Provider Analysis →

Qwen 2.5 VL 72B Instruct (free)

A-TIER

OpenRouter

Intelligence Score 83/100
Context Window 32k
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

AI21 Jamba 1.5 Large Wins

With an intelligence score of 88/100 vs 83/100, AI21 Jamba 1.5 Large outperforms Qwen 2.5 VL 72B Instruct (free) by 5 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
Qwen 2.5 VL 72B Instruct (free)
Context Window
256K 32k
Architecture
SSM-Transformer Hybrid (Mamba) Transformer (Open Weight)
Est. MMLU Score
~80-84% ~75-79%
Release Date
2024 Sep-Nov 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Varies by Copilot Tier 20 requests/minute
Daily Limit
Low 50 requests/day (up to 1000 with $10 topup)
Capabilities
No specific data
No specific data
Performance Tier
A-Tier (Excellent) B-Tier (Strong)
Speed Estimate
Medium ⚡ Fast
Primary Use Case
General Purpose 👁️ Vision & Multimodal
Model Size
Undisclosed 72B
Limitations
  • Restrictive limits
  • Requires GitHub account
  • Rate limits vary by Copilot tier
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
Key Strengths
  • Prototyping
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing

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