Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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VS
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Qwen-Turbo

Qwen (Alibaba)

Intelligence Score 78/100
Model Popularity 0 votes
Context Window 32K tokens
Pricing Model Commercial / Paid
View Provider Analysis →

DeepSeek Coder 6.7B

A-TIER

Cloudflare Workers AI

Intelligence Score 83/100
Context Window 16K
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

DeepSeek Coder 6.7B Wins

With an intelligence score of 83/100 vs 78/100, DeepSeek Coder 6.7B outperforms Qwen-Turbo by 5 points.

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

Detailed Comparison

Feature
Qwen-Turbo
DeepSeek Coder 6.7B
Context Window
32K tokens 16K
Architecture
Transformer (Open Weight) Dense Transformer
Est. MMLU Score
~70-74% ~75-79%
Release Date
2024 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
60 RPM Varies by model
Daily Limit
Credit-based 10,000 neurons/day
Capabilities
No specific data
Code
Performance Tier
B-Tier (Strong) B-Tier (Strong)
Speed Estimate
Medium âš¡ Very Fast
Primary Use Case
General Purpose 💻 Code Generation
Model Size
Undisclosed 6.7B
Limitations
  • Requires Alibaba Cloud account (Payment method)
  • Dashboard can be complex
  • Region selection matters
  • 10,000 neurons/day cap (varies per model)
  • Larger models consume more neurons per request
  • No fine-tuning support
Key Strengths
  • Qwen Family: Top tier open weights
  • Multimodal capabilities (VL models)
  • Search Plugin integration
  • Edge inference: runs closest to user
  • 50+ models: LLM, image gen, classification, speech
  • Workers integration for serverless apps

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