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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A-TIER

Hugging Face Inference

Intelligence Score 83/100

Context Window 128K

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 83/100 vs 80/100, Qwen3.5 72B Instruct outperforms DeepSeek V4 Pro (0813) by 3 points.

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

HEAD-TO-HEAD

Feature	DeepSeek V4 Pro (0813)	Qwen3.5 72B Instruct
Context Window	Long context	128K
Architecture	Dense Transformer	Transformer (Open Weight)
Est. MMLU Score	~75-79%	~75-79%
Release Date	2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	40 requests/minute	300 Requests / hour
Daily Limit	-	Capped by monthly credit, not a flat request count
Capabilities	No specific data	Chinese
Performance Tier	B-Tier (Strong)	B-Tier (Strong)
Speed Estimate	Medium	⚡ Fast
Primary Use Case	General Purpose	General Purpose
Model Size	Undisclosed	72B
Limitations	Phone number verification required Free credits are limited Rate limits on free tier	Rate limited to ~300 request/hour for free users Models larger than 10GB may not load Cold starts can occur
Key Strengths	High performance models	Serverless Inference Instant Model Loading Text Generation