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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Qwen (Alibaba)

Intelligence Score 78/100

Context Window 32K tokens

Pricing Model Commercial / Paid

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 85/100 vs 78/100, DeepSeek Coder V2 outperforms Qwen-Turbo by 7 points.

HEAD-TO-HEAD

Feature	DeepSeek Coder V2	Qwen-Turbo
Context Window	64K tokens	32K tokens
Architecture	Dense Transformer	Transformer (Open Weight)
Est. MMLU Score	~80-84%	~70-74%
Release Date	2024	2024
Pricing Model	Free Tier	Paid / Commercial
Rate Limit (RPM)	Hardware limited	60 RPM
Daily Limit	Unlimited	Credit-based
Capabilities	No specific data	No specific data
Performance Tier	A-Tier (Excellent)	B-Tier (Strong)
Speed Estimate	Medium	Medium
Primary Use Case	💻 Code Generation	General Purpose
Model Size	Undisclosed	Undisclosed
Limitations	Depends on your RAM/GPU Laptop fans will spin up Large models (70B+) need heavy hardware	Requires Alibaba Cloud account (Payment method) Dashboard can be complex Region selection matters
Key Strengths	Local Inference: Data never leaves your device Modelfiles: Script your own system prompts API: Local REST API for app integration	Qwen Family: Top tier open weights Multimodal capabilities (VL models) Search Plugin integration