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 V2

A-TIER

Ollama

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

DeepSeek Coder V2 Wins

With an intelligence score of 85/100 vs 65/100, DeepSeek Coder V2 outperforms Phi-3.5 Mini by 20 points.

Clear Winner: Significant performance advantage for DeepSeek Coder V2.
HEAD-TO-HEAD

Detailed Comparison

Feature
Phi-3.5 Mini
DeepSeek Coder V2
Context Window
128K tokens 64K tokens
Architecture
Transformer Dense Transformer
Est. MMLU Score
~60-64% ~80-84%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Hardware limited Hardware limited
Daily Limit
Unlimited Unlimited
Capabilities
Reasoning
No specific data
Performance Tier
C-Tier (Good) A-Tier (Excellent)
Speed Estimate
âš¡ Very Fast Medium
Primary Use Case
⚡ Fast Chat & Apps 💻 Code Generation
Model Size
Undisclosed Undisclosed
Limitations
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
Key Strengths
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration

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