Battle of the Models

Compare specific LLM models, context windows, and capabilities.

DeepSeek V4 Pro (0813)

A-TIER

NVIDIA NIM

Intelligence Score 80/100

Model Popularity 0 votes

Context Window Long context

Pricing Model Free / Open

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Qwen (Alibaba)

Intelligence Score 78/100

Context Window 32K tokens

Pricing Model Commercial / Paid

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 80/100 vs 78/100, DeepSeek V4 Pro (0813) outperforms Qwen-Turbo by 2 points.

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

HEAD-TO-HEAD

Feature	DeepSeek V4 Pro (0813)	Qwen-Turbo
Context Window	Long context	32K tokens
Architecture	Dense Transformer	Transformer (Open Weight)
Est. MMLU Score	~75-79%	~70-74%
Release Date	2024	2024
Pricing Model	Free Tier	Paid / Commercial
Rate Limit (RPM)	40 requests/minute	60 RPM
Daily Limit	-	Credit-based
Capabilities	No specific data	No specific data
Performance Tier	B-Tier (Strong)	B-Tier (Strong)
Speed Estimate	Medium	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	Undisclosed	Undisclosed
Limitations	Phone number verification required Free credits are limited Rate limits on free tier	Requires Alibaba Cloud account (Payment method) Dashboard can be complex Region selection matters
Key Strengths	High performance models	Qwen Family: Top tier open weights Multimodal capabilities (VL models) Search Plugin integration