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

View Provider Analysis →

S-TIER

Hyperbolic

Intelligence Score 91/100

Context Window 32K

Pricing Model Commercial / Paid

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 91/100 vs 80/100, Qwen 2.5 72B outperforms DeepSeek-V4 Pro by 11 points.

HEAD-TO-HEAD

Feature	DeepSeek-V4 Pro	Qwen 2.5 72B
Context Window	128K	32K
Architecture	Dense Transformer	Transformer (Open Weight)
Est. MMLU Score	~75-79%	~85-87%
Release Date	2024	Sep-Nov 2024
Pricing Model	Paid / Commercial	Paid / Commercial
Rate Limit (RPM)	60 RPM	60 RPM
Daily Limit	Credit-based	Credit-based
Capabilities	No specific data	No specific data
Performance Tier	B-Tier (Strong)	A-Tier (Excellent)
Speed Estimate	Medium	⚡ Fast
Primary Use Case	General Purpose	General Purpose
Model Size	Undisclosed	72B
Limitations	10M tokens is one-time only API can be slow during peak hours (Chinese business hours) Rate limiting during high demand periods	Credits are limited ($1) Decentralized nature may vary latency Billing flow involves crypto/stripe
Key Strengths	DeepSeek-R1: OpenAI o1-level reasoning (open-source) Mixture-of-Experts architecture for efficiency OpenAI-compatible API (drop-in replacement)	Verifiable Inference (verified computing) Low Cost due to decentralized compute Privacy focused