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

Mistral (La Plateforme)

Intelligence Score 86/100

Context Window 256k

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 86/100 vs 85/100, Codestral outperforms DeepSeek Coder V2 by 1 point.

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

HEAD-TO-HEAD

Feature	DeepSeek Coder V2	Codestral
Context Window	64K tokens	256k
Architecture	Dense Transformer	Transformer
Est. MMLU Score	~80-84%	~80-84%
Release Date	2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	Hardware limited	1 request/second
Daily Limit	Unlimited	-
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	Undisclosed
Limitations	Depends on your RAM/GPU Laptop fans will spin up Large models (70B+) need heavy hardware	Phone verification required Data training opt-in required 1 request/second rate limit
Key Strengths	Local Inference: Data never leaves your device Modelfiles: Script your own system prompts API: Local REST API for app integration	Access to Mistral's open-weight models OpenAI-compatible API endpoints Function calling support