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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Nebius (Token Factory)

Intelligence Score 76/100

Context Window 256K Context

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 85/100 vs 76/100, DeepSeek Coder V2 outperforms Qwen3 235B A22B Instruct 2507 by 9 points.

HEAD-TO-HEAD

Feature	DeepSeek Coder V2	Qwen3 235B A22B Instruct 2507
Context Window	64K tokens	256K Context
Architecture	Dense Transformer	Transformer (Open Weight)
Est. MMLU Score	~80-84%	~70-74%
Release Date	2024	2024
Pricing Model	Free Tier	Free Tier
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	235B
Limitations	Depends on your RAM/GPU Laptop fans will spin up Large models (70B+) need heavy hardware	$1 credit is small (good for testing) Limited model selection compared to aggregators Beta features may change
Key Strengths	Local Inference: Data never leaves your device Modelfiles: Script your own system prompts API: Local REST API for app integration	Nebius Studio: Interactive playground OpenAI Compatibility: Easy swap Cost Effective: Competitive pricing