The Chinese AI lab that undercut the market now moves to monetize its flagship model
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Overview
Eighteen months ago DeepSeek's cheap AI wiped roughly $589 billion off Nvidia's market value in a single day. On August 13, 2026, the same company took its flagship model out of preview and, three days later, made it cost about four times more.
DeepSeek-V4-Pro is built for 'agent' work: running code and using software tools across many steps with little human input. The price increase, effective August 16, is the first clear sign the lab wants to earn money from its models rather than just win users with low prices.
Why it matters
DeepSeek's low prices forced rivals to respond once. If it can raise prices and keep users, the whole AI cost war changes.
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Timeline
July 2023 August 2026
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Price increase takes effect
Latest PricingNew V4 rates raise peak-hour costs roughly fourfold, to about $3.96 per million tokens, with steeper jumps for some token types.
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V4-Pro leaves preview
ProductDeepSeek makes V4-Pro (build 0813) generally available across its app, website and API, stressing agent tasks and a 1-million-token context window.
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US tech stocks plunge
MarketNvidia falls about 17% and loses roughly $589 billion in market value as investors reassess AI spending.
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R1 model released
ProductDeepSeek releases its R1 reasoning model as open weights, matching top US systems at far lower reported cost.
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DeepSeek founded
OriginLiang Wenfeng starts DeepSeek, backed by his hedge fund High-Flyer, to build large language models.
Historical Context
3 moments from history that rhyme with this story — and how they unfolded.
DeepSeek R1 market shock (2025)
DeepSeek released its R1 reasoning model as open weights, claiming performance near top US systems at a reported training cost of a few million dollars. Investors feared AI could be built far more cheaply than assumed.
On January 27, Nvidia fell about 17% and lost roughly $589 billion in market value in one day, though shares recovered part of the drop soon after.
The episode made DeepSeek globally known and forced US labs and investors to defend their spending on expensive chips and training runs.
It shows how much weight the market puts on DeepSeek's pricing. The V4-Pro increase reverses the very low-cost strategy that caused that shock.
China's AI price war (2024)
Chinese tech firms including ByteDance, Alibaba and DeepSeek slashed model prices in a race for users. Some cut API costs by more than 90% within weeks.
Prices for Chinese large language models fell sharply, pressuring margins across the industry.
Low prices became a defining feature of China's AI market and a competitive threat to higher-priced US models.
DeepSeek helped drive that price war. Raising V4-Pro prices now signals it may be stepping back from the discounting it once led.
Uber's shift from subsidies to profit (2017-2019)
Uber spent years offering rides below cost to win riders and drivers. After going public in 2019, it raised prices and cut incentives to chase profitability.
Fares rose and some users complained, but Uber kept most of its customer base.
The company eventually reached profitability, showing that a low-price disruptor can raise prices once it dominates a market.
DeepSeek faces the same test: whether users who came for cheap AI will stay once prices climb.
