Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Mistral Large (24.11)

S-TIER

GitHub Models

Intelligence Score 90/100

Model Popularity 0 votes

Context Window 128K

Pricing Model Free / Open

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A-TIER

Ollama

Intelligence Score 85/100

Context Window 64K tokens

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 90/100 vs 85/100, Mistral Large (24.11) outperforms DeepSeek Coder V2 by 5 points.

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

HEAD-TO-HEAD

Feature	Mistral Large (24.11)	DeepSeek Coder V2
Context Window	128K	64K tokens
Architecture	Transformer (Open Weight)	Dense Transformer
Est. MMLU Score	~85-87%	~80-84%
Release Date	2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	10 RPM (high-tier) / higher for mini-tier	Hardware limited
Daily Limit	50 RPD (high-tier models) / 150 RPD (mini-tier models)	Unlimited
Capabilities	Reasoning Multilingual	No specific data
Performance Tier	A-Tier (Excellent)	A-Tier (Excellent)
Speed Estimate	Medium	Medium
Primary Use Case	General Purpose	💻 Code Generation
Model Size	Undisclosed	Undisclosed
Limitations	Restrictive limits Requires GitHub account Rate limits vary by Copilot tier	Depends on your RAM/GPU Laptop fans will spin up Large models (70B+) need heavy hardware
Key Strengths	Prototyping	Local Inference: Data never leaves your device Modelfiles: Script your own system prompts API: Local REST API for app integration