Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Jamba 1.5 Large

A-TIER

AI21 Labs

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

DeepSeek Coder V2

A-TIER

Ollama

Intelligence Score 85/100
Context Window 64K tokens
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Jamba 1.5 Large Wins

With an intelligence score of 88/100 vs 85/100, Jamba 1.5 Large outperforms DeepSeek Coder V2 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
DeepSeek Coder V2
Context Window
256K 64K tokens
Architecture
SSM-Transformer Hybrid (Mamba) Dense Transformer
Est. MMLU Score
~80-84% ~80-84%
Release Date
2024 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
100 RPM Hardware limited
Daily Limit
Credit-based Unlimited
Capabilities
Reasoning
No specific data
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
Speed Estimate
Medium Medium
Primary Use Case
General Purpose 💻 Code Generation
Model Size
Undisclosed Undisclosed
Limitations
  • Credits expire after 3 months
  • Unique architecture (check compatibility)
  • Focus on text (no vision yet)
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
Key Strengths
  • Jamba: SSM-Transformer Hybrid
  • 256K Context Window
  • Highly efficient inference
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration

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