Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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DeepSeek Coder 6.7B

A-TIER

Cloudflare Workers AI

Intelligence Score 83/100
Model Popularity 0 votes
Context Window 16K
Pricing Model Free / Open

Jamba 1.5 Large

A-TIER

AI21 Labs

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

Jamba 1.5 Large Wins

With an intelligence score of 88/100 vs 83/100, Jamba 1.5 Large outperforms DeepSeek Coder 6.7B by 5 points.

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

Detailed Comparison

Feature
DeepSeek Coder 6.7B
Jamba 1.5 Large
Context Window
16K 256K
Architecture
Dense Transformer SSM-Transformer Hybrid (Mamba)
Est. MMLU Score
~75-79% ~80-84%
Release Date
2024 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
Varies by model 100 RPM
Daily Limit
10,000 neurons/day Credit-based
Capabilities
Code
Reasoning
Performance Tier
B-Tier (Strong) A-Tier (Excellent)
Speed Estimate
âš¡ Very Fast Medium
Primary Use Case
💻 Code Generation General Purpose
Model Size
6.7B Undisclosed
Limitations
  • 10,000 neurons/day cap (varies per model)
  • Larger models consume more neurons per request
  • No fine-tuning support
  • Credits expire after 3 months
  • Unique architecture (check compatibility)
  • Focus on text (no vision yet)
Key Strengths
  • Edge inference: runs closest to user
  • 50+ models: LLM, image gen, classification, speech
  • Workers integration for serverless apps
  • Jamba: SSM-Transformer Hybrid
  • 256K Context Window
  • Highly efficient inference

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