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

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S-TIER

Chutes.ai

Intelligence Score 91/100

Context Window 32K

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 91/100 vs 85/100, Qwen 2.5 72B Instruct outperforms DeepSeek Coder V2 by 6 points.

HEAD-TO-HEAD

Feature	DeepSeek Coder V2	Qwen 2.5 72B Instruct
Context Window	64K tokens	32K
Architecture	Dense Transformer	Transformer (Open Weight)
Est. MMLU Score	~80-84%	~85-87%
Release Date	2024	Sep-Nov 2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	Hardware limited	Varies (community capacity)
Daily Limit	Unlimited	Subject to availability
Capabilities	No specific data	No specific data
Performance Tier	A-Tier (Excellent)	A-Tier (Excellent)
Speed Estimate	Medium	⚡ Fast
Primary Use Case	💻 Code Generation	General Purpose
Model Size	Undisclosed	72B
Limitations	Depends on your RAM/GPU Laptop fans will spin up Large models (70B+) need heavy hardware	Availability depends on community GPU donors Speed varies with demand Models may be temporarily unavailable
Key Strengths	Local Inference: Data never leaves your device Modelfiles: Script your own system prompts API: Local REST API for app integration	Community-powered GPU network Free access to large open-source models OpenAI-compatible API format