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

DeepSeek

Intelligence Score 83/100

Context Window 1M

Pricing Model Commercial / Paid

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 90/100 vs 83/100, Mistral Large (24.11) outperforms DeepSeek-V4 Flash by 7 points.

HEAD-TO-HEAD

Feature	Mistral Large (24.11)	DeepSeek-V4 Flash
Context Window	128K	1M
Architecture	Transformer (Open Weight)	Dense Transformer
Est. MMLU Score	~85-87%	~75-79%
Release Date	2024	2024
Pricing Model	Free Tier	Paid / Commercial
Rate Limit (RPM)	10 RPM (high-tier) / higher for mini-tier	60 RPM
Daily Limit	50 RPD (high-tier models) / 150 RPD (mini-tier models)	Credit-based
Capabilities	Reasoning Multilingual	No specific data
Performance Tier	A-Tier (Excellent)	B-Tier (Strong)
Speed Estimate	Medium	⚡ Very Fast
Primary Use Case	General Purpose	⚡ Fast Chat & Apps
Model Size	Undisclosed	Undisclosed
Limitations	Restrictive limits Requires GitHub account Rate limits vary by Copilot tier	10M tokens is one-time only API can be slow during peak hours (Chinese business hours) Rate limiting during high demand periods
Key Strengths	Prototyping	DeepSeek-R1: OpenAI o1-level reasoning (open-source) Mixture-of-Experts architecture for efficiency OpenAI-compatible API (drop-in replacement)