DeepSeek Makes 75% Discount on V4 Pro Permanent — Prices Fall 4x
DeepSeek made the 75% discount on V4 Pro permanent. The price fell from $0.0145 to $0.003625 per million input tokens — eight times cheaper than GPT-5. The prom

DeepSeek has announced an extension of the 75% discount on its flagship V4 Pro model indefinitely. Last week, this offer was supposed to end on May 31, but the company decided to make it permanent.
Numbers That Shock
The new DeepSeek prices look almost incredible. Input tokens now cost $0.003625 per million, output tokens — $0.087. Previously, they were four times more expensive: $0.0145 and $0.35 respectively. For comparison, OpenAI's GPT-5 costs $2.50 per million input tokens — 689 times more expensive. Even OpenAI and Anthropic's budget models remain noticeably more expensive than DeepSeek. Claude 3.5 Sonnet costs $3 per input tokens. Grok is in a similar price range to OpenAI.
The Price War Reached the Core
DeepSeek's decision to keep the discount permanent is not just a PR move. It's a signal that the Chinese startup intends to stay in the game as aggressively cheap as all competitors. The offer was originally announced as a limited-time promotion, but judging by the extension, competition is forcing the company to take this step. Here's what happened:
- V4 Pro took top positions in global benchmarks
- DeepSeek became 4-8 times cheaper than market leaders
- Companies started reviewing their contracts for OpenAI model usage
- Competitors are forced to lower prices or lose customers
A New Phase of Competition
The world of AI models has entered a new phase: this is no longer a war of features, but a war of prices. DeepSeek shows that quality models can be made cheaply — and profitably. Large companies that are currently overpaying for GPT-4 or GPT-5 will start counting every penny.
What This Means
AI prices will fall even further. If OpenAI, Anthropic, and other leaders do not respond aggressively to this move, they will lose some clients by autumn. At the same time, DeepSeek's low cost may become a barrier to its adoption in the corporate sector — companies usually choose proven solutions, not just based on price.