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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Venice.ai

Intelligence Score 65/100

Context Window 32K tokens

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 85/100 vs 65/100, DeepSeek Coder V2 outperforms Dolphin Mixtral by 20 points.

Clear Winner: Significant performance advantage for DeepSeek Coder V2.

HEAD-TO-HEAD

Feature	DeepSeek Coder V2	Dolphin Mixtral
Context Window	64K tokens	32K tokens
Architecture	Dense Transformer	Mixture of Experts (MoE)
Est. MMLU Score	~80-84%	~60-64%
Release Date	2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	Hardware limited	10 RPM (free tier)
Daily Limit	Unlimited	Limited daily usage
Capabilities	No specific data	No specific data
Performance Tier	A-Tier (Excellent)	C-Tier (Good)
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	Free tier has speed/rate limits Pro subscription needed for 405B speed Decentralized network variance
Key Strengths	Local Inference: Data never leaves your device Modelfiles: Script your own system prompts API: Local REST API for app integration	Zero-Knowledge Proofs for privacy Uncensored model options Decentralized compute network