Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Various Open Models

NVIDIA NIM

Intelligence Score 65/100

Model Popularity 0 votes

Context Window Context Limited

Pricing Model Commercial / Paid

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S-TIER

Chutes.ai

Intelligence Score 97/100

Context Window 64K

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 97/100 vs 65/100, DeepSeek-R1 outperforms Various Open Models by 32 points.

Clear Winner: Significant performance advantage for DeepSeek-R1.

HEAD-TO-HEAD

Feature	Various Open Models	DeepSeek-R1
Context Window	Context Limited	64K
Architecture	Transformer	Dense Transformer
Est. MMLU Score	~60-64%	~92-95%
Release Date	2024	Jan 2025
Pricing Model	Paid / Commercial	Free Tier
Rate Limit (RPM)	40 requests/minute	Varies (community capacity)
Daily Limit	-	Subject to availability
Capabilities	No specific data	Reasoning
Performance Tier	C-Tier (Good)	S-Tier (Elite)
Speed Estimate	Medium	🐢 Slower (Reasoning)
Primary Use Case	General Purpose	🧠 Complex Reasoning
Model Size	Undisclosed	Undisclosed
Limitations	Phone number verification required Free credits are limited Rate limits on free tier	Availability depends on community GPU donors Speed varies with demand Models may be temporarily unavailable
Key Strengths	High performance models	Community-powered GPU network Free access to large open-source models OpenAI-compatible API format