Battle of the Models

Compare specific LLM models, context windows, and capabilities.

DeepSeek-R1

S-TIER

NVIDIA NIM

Intelligence Score 97/100

Model Popularity 0 votes

Context Window 128K

Pricing Model Commercial / Paid

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A-TIER

Mistral (La Plateforme)

Intelligence Score 80/100

Context Window 128k

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 97/100 vs 80/100, DeepSeek-R1 outperforms Mistral Nemo by 17 points.

Clear Winner: Significant performance advantage for DeepSeek-R1.

HEAD-TO-HEAD

Feature	DeepSeek-R1	Mistral Nemo
Context Window	128K	128k
Architecture	Dense Transformer	Transformer (Open Weight)
Est. MMLU Score	~92-95%	~75-79%
Release Date	Jan 2025	2024
Pricing Model	Paid / Commercial	Free Tier
Rate Limit (RPM)	40 requests/minute	1 request/second
Daily Limit	-	-
Capabilities	No specific data	No specific data
Performance Tier	S-Tier (Elite)	B-Tier (Strong)
Speed Estimate	🐢 Slower (Reasoning)	Medium
Primary Use Case	🧠 Complex Reasoning	General Purpose
Model Size	Undisclosed	Undisclosed
Limitations	Phone number verification required Free credits are limited Rate limits on free tier	Phone verification required Data training opt-in required 1 request/second rate limit
Key Strengths	High performance models	Access to Mistral's open-weight models OpenAI-compatible API endpoints Function calling support