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

SambaNova Cloud

Intelligence Score 89/100

Context Window 32k Context

Pricing Model Commercial / Paid

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 89/100 vs 85/100, Qwen 2.5 Coder 32B outperforms DeepSeek Coder V2 by 4 points.

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

HEAD-TO-HEAD

Feature	DeepSeek Coder V2	Qwen 2.5 Coder 32B
Context Window	64K tokens	32k Context
Architecture	Dense Transformer	Transformer (Open Weight)
Est. MMLU Score	~80-84%	~80-84%
Release Date	2024	Sep-Nov 2024
Pricing Model	Free Tier	Paid / Commercial
Rate Limit (RPM)	Hardware limited	Varies by model
Daily Limit	Unlimited	Dependent on credits
Capabilities	No specific data	No specific data
Performance Tier	A-Tier (Excellent)	A-Tier (Excellent)
Speed Estimate	Medium	Medium
Primary Use Case	💻 Code Generation	💻 Code Generation
Model Size	Undisclosed	32B
Limitations	Depends on your RAM/GPU Laptop fans will spin up Large models (70B+) need heavy hardware	Free credits are one-time for new users Context window varies by model (8k - 128k) Rate limits apply to free tier
Key Strengths	Local Inference: Data never leaves your device Modelfiles: Script your own system prompts API: Local REST API for app integration	SambaNova SN40L RDU Chip Dataflow Architecture Record-Breaking Speed