Battle of the Models

Compare specific LLM models, context windows, and capabilities.

DeepSeek-V4 Pro

A-TIER

DeepSeek

Intelligence Score 80/100

Model Popularity 0 votes

Context Window 128K

Pricing Model Commercial / Paid

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NVIDIA NIM

Intelligence Score 65/100

Context Window Context Limited

Pricing Model Commercial / Paid

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 80/100 vs 65/100, DeepSeek-V4 Pro outperforms Various Open Models by 15 points.

Clear Winner: Significant performance advantage for DeepSeek-V4 Pro.

HEAD-TO-HEAD

Feature	DeepSeek-V4 Pro	Various Open Models
Context Window	128K	Context Limited
Architecture	Dense Transformer	Transformer
Est. MMLU Score	~75-79%	~60-64%
Release Date	2024	2024
Pricing Model	Paid / Commercial	Paid / Commercial
Rate Limit (RPM)	60 RPM	40 requests/minute
Daily Limit	Credit-based	-
Capabilities	No specific data	No specific data
Performance Tier	B-Tier (Strong)	C-Tier (Good)
Speed Estimate	Medium	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	Undisclosed	Undisclosed
Limitations	10M tokens is one-time only API can be slow during peak hours (Chinese business hours) Rate limiting during high demand periods	Phone number verification required Free credits are limited Rate limits on free tier
Key Strengths	DeepSeek-R1: OpenAI o1-level reasoning (open-source) Mixture-of-Experts architecture for efficiency OpenAI-compatible API (drop-in replacement)	High performance models