Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Phi-4

A-TIER

GitHub Models

Intelligence Score 89/100
Model Popularity 0 votes
Context Window 128K
Pricing Model Free / Open

DeepSeek Coder V2

A-TIER

Ollama

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

Phi-4 Wins

With an intelligence score of 89/100 vs 85/100, Phi-4 outperforms DeepSeek Coder V2 by 4 points.

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

Detailed Comparison

Feature
Phi-4
DeepSeek Coder V2
Context Window
128K 64K tokens
Architecture
Transformer Dense Transformer
Est. MMLU Score
~80-84% ~80-84%
Release Date
Dec 2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Varies by Copilot Tier Hardware limited
Daily Limit
Low 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
  • Restrictive limits
  • Requires GitHub account
  • Rate limits vary by Copilot tier
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
Key Strengths
  • Prototyping
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration

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