Battle of the Models

Compare specific LLM models, context windows, and capabilities.

DeepSeek Coder V2

A-TIER

Ollama

Intelligence Score 85/100

Model Popularity 0 votes

Context Window 64K tokens

Pricing Model Free / Open

View Provider Analysis →

Ollama

Intelligence Score 65/100

Context Window 128K tokens

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

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

Feature	DeepSeek Coder V2	Phi-3.5 Mini
Context Window	64K tokens	128K tokens
Architecture	Dense Transformer	Transformer
Est. MMLU Score	~80-84%	~60-64%
Release Date	2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	Hardware limited	Hardware limited
Daily Limit	Unlimited	Unlimited
Capabilities	No specific data	Reasoning
Performance Tier	A-Tier (Excellent)	C-Tier (Good)
Speed Estimate	Medium	⚡ Very Fast
Primary Use Case	💻 Code Generation	⚡ Fast Chat & Apps
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