Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Phi-3.5 Mini

Ollama

Intelligence Score 65/100
Model Popularity 0 votes
Context Window 128K tokens
Pricing Model Free / Open
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 65/100, DeepSeek Coder 6.7B outperforms Phi-3.5 Mini by 18 points.

Clear Winner: Significant performance advantage for DeepSeek Coder 6.7B.
HEAD-TO-HEAD

Detailed Comparison

Feature
Phi-3.5 Mini
DeepSeek Coder 6.7B
Context Window
128K tokens 16K
Architecture
Transformer Dense Transformer
Est. MMLU Score
~60-64% ~75-79%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Hardware limited Varies by model
Daily Limit
Unlimited 10,000 neurons/day
Capabilities
Reasoning
Code
Performance Tier
C-Tier (Good) B-Tier (Strong)
Speed Estimate
âš¡ Very Fast âš¡ Very Fast
Primary Use Case
⚡ Fast Chat & Apps 💻 Code Generation
Model Size
Undisclosed 6.7B
Limitations
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
  • 10,000 neurons/day cap (varies per model)
  • Larger models consume more neurons per request
  • No fine-tuning support
Key Strengths
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration
  • Edge inference: runs closest to user
  • 50+ models: LLM, image gen, classification, speech
  • Workers integration for serverless apps

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