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Several companies have switched to DeepSeek to save costs

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DeepSeek's structural impact pervasive, executives say

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Startups fast to switch, large firms to watch and wait

By Supantha Mukherjee

GOTHENBURG, Feb 3 (Reuters) - Hemanth Mandapati, boss of

German startup Novo AI, was an early adopter of DeepSeek

chatbots when he switched to the Chinese AI model from OpenAI's

ChatGPT two weeks ago.

"If you have built your application using OpenAI, you can

easily migrate to the other ones ... it took us minutes to

switch," he said in an interview on the sidelines of the GoWest

conference for venture capitalists in Gothenburg, Sweden.

DeepSeek's emergence is changing the landscape for AI,

offering companies access to the technology at a fraction of the

cost, according to interviews with more than a dozen startup

executives and investors. It also has the potential to push

other AI companies to improve their models and bring down

prices.

"There was an offer from DeepSeek which was five times lower

than their actual prices," said Mandapati. "I am saving a lot of

money and users don't see any kind of a difference."

Europe's tech startups had struggled to adopt the new

technology at the same rate as U.S. rivals, which have easier

access to funding. But executives say DeepSeek could be a game

changer.

"It marks a significant step forward in democratising AI and

levelling the playing field with Big Tech," said Seena Rejal,

chief commercial officer of British firm NetMind.AI, another

early adopter of DeepSeek.

Analysts at Bernstein estimate that DeepSeek's pricing is 20

to 40 times cheaper than equivalent models from OpenAI.

OpenAI charges $2.5 for 1 million input tokens, or units of

data processed by the AI model, while DeepSeek is currently

charging $0.014 for the same number of tokens.

Concerns have been raised by regulators about whether

DeepSeek is copying OpenAI data or censoring answers that could

portray China in a bad light. It is currently being investigated

in different European countries.

"While the future of DeepSeek as a business is difficult to

predict, the structural impact seems quite pervasive," said

Sanjot Malhi, partner at venture capital firm Northzone.

WAKE-UP CALL

Nearly $100 billion was invested by venture capitalists in

AI companies in 2024 in the U.S. compared with about $15.8

billion in Europe, according to data from PitchBook.

Just on Jan. 22, U.S. President Donald Trump unveiled a $500

billion AI project called Stargate, a joint venture backed by

OpenAI, SoftBank and Oracle.

Investment in Europe has been more modest.

Only France's Mistral features among the list of top

foundational models dominated by the likes of OpenAI, Meta

, Anthropic and Google.

China's DeepSeek attracted attention after writing in a

paper last month that the training of DeepSeek-V3 required less

than $6 million worth of computing power from Nvidia H800 chips.

It has since overtaken ChatGPT to become the top-rated

productivity application available on Apple's App Store.

"This is a wake-up call that bigger isn't always better,"

said Fabrizio Del Maffeo, CEO of Axelera AI. "By making models

more attainable to everyone, the total cost of ownership and

barriers to building innovative tech are lowered which can be a

catalyst for the whole industry."

While some analysts doubt that DeepSeek's training cost is

as low as the company says, they agree it is lower than

comparable American models.

"I see DeepSeek as a tremendous opportunity for companies

like ours," said Ulrik R-T, CEO of Denmark's Empatik AI. "It

showed that we do not need huge budgets to be able to achieve

our vision."

COST VS SAFETY

The price war may have already started.

Microsoft last week released OpenAI's o1 reasoning model to

all Copilot users for free, instead of the usual subscription

fee of $20 per month.

"AI prices are going down, so future usage is probably going

where there is transparency, which is usually open source, even

though it's in China," said Scale Capital's Joachim Schelde.

Bigger companies, ranging from Finland's Nokia to Germany's

SAP, are more cautious about switching.

"Cost is just one factor," said Alexandru Voica, Head of

Corporate at Britain's Synthesia, which was last valued at $2.1

billion. "Other factors are: 'do you have all the security

certifications, the frameworks, the software ecosystem that

allows companies to build and integrate with your platform?'"