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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A-TIER

Ollama

Intelligence Score 80/100

Context Window 8K tokens

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 85/100 vs 80/100, DeepSeek Coder V2 outperforms Gemma 2 9B by 5 points.

Close Match: The difference is minimal. Consider other factors like pricing and features.

HEAD-TO-HEAD

Feature	DeepSeek Coder V2	Gemma 2 9B
Context Window	64K tokens	8K tokens
Architecture	Dense Transformer	Transformer
Est. MMLU Score	~80-84%	~75-79%
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)	B-Tier (Strong)
Speed Estimate	Medium	Medium
Primary Use Case	💻 Code Generation	General Purpose
Model Size	Undisclosed	9B
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