OpenAI reportedly poached Anthropic customers with over 30% discounts and free credits; Replit contract worth over $100 million annually
According to The Information, OpenAI won over the U.S. AI coding platform Replit with model price discounts of more than 30%, and the contract is worth over $100 million annually. OpenAI also sought to win over longtime Anthropic customers such as Rippling and Atomicwork through methods including free credits, doubled accounts, and engineers joining group chats for support, while Anthropic lowered API prices when it released new models.
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The original article uses procurement changes at customers such as Replit and Rippling and specific discount terms to show the pricing tactics the two model vendors are using to compete for enterprise orders.
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OpenAI Reportedly Lands a Single Deal Worth Over 670 Million Yuan a Year! Offering Deep Discounts, Free Credits, and On-Site Engineers—All to Poach Anthropic's Customers
Zhidongxi Download the App | Exclusive First Look November 03, 2026, 20:00:39 | From Beijing
OpenAI and Anthropic are at it again, this time over poaching users!
On October 30, OpenAI had just doubled the ChatGPT Work and Codex quotas for some Pro plans; the next day, Anthropic removed the 5-hour usage limit for verified Ultra accounts, while keeping the weekly limit. On November 1, OpenAI announced in its help documentation that it would integrate the Work feature into regular chat and planned, starting in December, to let ChatGPT and Codex share usage quotas across the Plus, Pro, and Business plans.
Zhidongxi, November 2: According to a report by the U.S. tech media outlet The Information on October 24, after OpenAI offered a model price discount of more than 30%, the U.S. AI coding platform Replit shifted most of its AI spending from Anthropic to OpenAI. According to people familiar with the matter cited by the outlet, Replit's contract with OpenAI is worth more than $100 million per year (about 671 million yuan).
To win customers, OpenAI's model quotes went as low as 60% of list price, it gave away free credits, and it put engineers into group chats to provide "hands-on service." When one bank first began considering a trial of Claude, OpenAI offered to double its ChatGPT accounts at the same annual fee.
At present, a number of long-time Anthropic customers, including the U.S. AI coding platform Replit, the HR software company Rippling, and the IT support automation company Atomicwork, have all more or less chosen to "abandon Anthropic and switch to OpenAI."
According to The Information, citing people familiar with the matter, Replit had previously mainly purchased model services from Anthropic and had originally intended to continue the partnership. But during contract negotiations, Anthropic demanded that Replit commit to higher procurement spending before it was willing to extend the previous discount.
At the same time, OpenAI offered a model price discount of more than 30%. Replit ultimately accepted OpenAI's offer. According to the people familiar with the matter cited above, the annual value of the contract between the two sides exceeds $100 million (about 671 million yuan). It took Replit only a few hours to complete the code changes needed to switch from Anthropic to OpenAI, and a few days to adjust the product—less time than it had previously spent negotiating the contract with Anthropic.
The U.S. HR software company Rippling has also increased its use of OpenAI models in coding work. Its engineers had previously used both Anthropic and OpenAI models, but relied mainly on Anthropic.
According to The Information, in May of this year, among the coding work of hundreds of Rippling engineers, Anthropic models accounted for 57% and OpenAI models for 16%; as of the publication of that report on October 24, Anthropic models' share had fallen to 18% and OpenAI models' share had risen to 52%.
OpenAI's customer-poaching strategy is already showing initial results. Besides discounts, what other methods has OpenAI used to win orders? And how is Anthropic responding?
1. Anthropic's Quarterly Revenue Overtakes OpenAI's; Top Models Differ by Only 1 Point on Intelligence Index
According to The Information, in the second quarter of this year, Anthropic's revenue exceeded OpenAI's for the first time. Anthropic's IPO registration statement, publicly filed on October 26, shows that the company's revenue for the quarter was about $11.555 billion (about 77.587 billion yuan); Reuters previously disclosed that OpenAI's revenue for the same period was $6.7 billion (about 44.988 billion yuan), but Reuters also noted that the two companies' revenue accounting standards are not entirely consistent, as OpenAI did not include sales revenue from some cloud partners.
▲Anthropic's quarterly operating data; second-quarter 2026 revenue was $11.555 billion (Source: Anthropic IPO registration statement)
According to an analysis by The Information, the performance of its coding models has given Anthropic strong pricing power. Anthropic's IPO registration statement shows that the company's compute and infrastructure spending in the second quarter was about $5.558 billion (about 37.320 billion yuan), less than half of its revenue for the same period.
OpenAI's situation is different. According to The Information, OpenAI had previously projected that its compute spending this year would significantly exceed its revenue. The outlet believes that steep discounts are helping OpenAI win customers, but will also increase pressure on its balance of income and expenditure.
However, several application developers interviewed by The Information said that the new models OpenAI has launched in recent months are more able to compete with Anthropic than before.
Judging from the latest benchmark scores, the two companies' flagship models are already ranked very close together. The Intelligence Index v5 released on October 27 by third-party large-model evaluation organization Artificial Analysis shows that at the highest thinking level, Claude Opus 5.5 scored 58, GPT-6 Astra scored 57—a difference of just 1 point—and GPT-6.1 Sol scored 55.
▲Claude Opus 5.5 and GPT-6 Astra differ by 1 point on the Intelligence Index (Image source: Artificial Analysis)
In FrontierCode 2.0, the same evaluation's real-world coding task test, Claude still leads. At the highest thinking level, Opus 5.5 scored 46%, while GPT-6 Astra and GPT-6.1 Terra both scored 42%, a difference of 4 percentage points.
▲In the FrontierCode 2.0 test, Opus 5.5 scored 46%, while GPT-6 Astra and GPT-6.1 Terra both scored 42% (Image source: Artificial Analysis)
2. OpenAI model quotes as low as 60% of list price; bank customer pays about $6.67 per account per month
To win enterprise orders, OpenAI has offered a number of incentives: model quotes as low as 60% of list price, free quotas, and some long-standing customers have even received terms with double the accounts at an unchanged annual fee.
First, large-volume model discounts.
According to The Information, both companies offer discounts to major customers, but Anthropic terminates the discount once a customer reaches the contract usage cap.
US-based vocational training company DataCamp had previously invested heavily in Anthropic models. According to The Information, DataCamp CEO Jonathan Cornelissen said OpenAI is willing to offer a 40% discount on the models used for its internal product development.
However, to get the 60%-of-list-price discount, the coding tool has to "switch allegiance": DataCamp must adopt Codex in place of competitors such as Claude Code and OpenCode.
As of the publication of that report, DataCamp was still considering the offer and negotiating with OpenAI in the hope that customer-facing applications could enjoy the same discount. Cornelissen said OpenAI's models are already priced lower than Anthropic's, and if the switch is completed and the discount obtained, related costs are expected to fall by 80% to 90%.
Second, free quotas.
According to The Information, Vijay Rajapathy, CEO of US IT support automation company Atomicwork, said that after the company received free quotas provided by OpenAI and US investment firm Khosla Ventures, it began training new engineers to use Codex in place of Claude Code. According to the outlet, citing people familiar with the matter, Khosla Ventures is a major investor in OpenAI and provides such quotas to startups it backs.
Rajapathy expects that by the first month of fiscal year 2027, Atomicwork's spending on Codex will be close to $300,000 (about 2.01 million yuan), compared with almost zero in the previous fiscal year; over the same period, Claude Code spending is expected to be about $2 million (about 13.43 million yuan).
Beyond free quotas, OpenAI also provides engineer support to some customers. According to The Information, a startup backed by US venture capital firm Andreessen Horowitz has a Slack group with OpenAI engineers and sales staff to help resolve Codex usage issues. The company's similar communication group with Anthropic sales staff, by contrast, has no engineers participating.
Third, adding accounts for existing ChatGPT customers while keeping contract fees unchanged.
According to The Information, citing an executive at a US bank, the bank's marketing team uses ChatGPT to generate advertisements, and its HR team uses it to write job descriptions. The bank had initially begun considering handing some work over to Claude, after which OpenAI allowed the bank to double its number of ChatGPT accounts to 500, with the annual contract fee still about $40,000 (about 268,600 yuan).
That works out to about $6.67 per account per month (about 45 yuan), far below the usual price of more than $20 per person per month (about 134 yuan). This incentive led the bank to continue using ChatGPT.
3. Anthropic lowers API prices for new models; Claude returns to the top of OpenRouter spending
Anthropic insists on procurement thresholds in some enterprise contract negotiations, but it has also lowered public API prices when releasing new models.
Opus 5.5, released on September 22, is priced at $4 per million tokens for input and $20 per million tokens for output (about 26.86 yuan and 134.29 yuan), both 20% lower than Opus 5, with cache read prices down 60%.
After Opus 5.5 launched, Anthropic again became the model provider with the highest customer spending on US model aggregation platform OpenRouter. According to The Information, OpenAI had previously surpassed Anthropic; in the week or so before that report was published, platform customers' spending on Anthropic models was about twice that on OpenAI.
On October 29, OpenAI doubled the Work and Codex quotas for the Pro 100 and Pro 500 plans, and canceled the previously planned quota reduction for Pro 200. For Pro 200 users who originally had lower quotas, usage was raised to twice the previous level; users who already had higher quotas kept their quotas unchanged.
OpenAI also announced that starting in December, ChatGPT and Codex usage quotas for the Plus, Pro and Business plans will be shared and measured by tokens. Quota consumption depends on the model and task selected, and Instant chat does not draw on this quota.
Anthropic, meanwhile, renamed its original Max 20x plan to Ultra, removed the 5-hour usage limit for verified Ultra accounts, kept the monthly fee at $200 (about 1,343 yuan), and retained the weekly limit.
Conclusion: As the model capability gap narrows, large enterprise customers have more bargaining power
OpenAI won Replit's big order with discounts, while Anthropic regained the lead in OpenRouter customer spending after updating its models. The two sets of changes show that enterprise procurement looks at both model performance and actual pricing, and even leading vendors need to repeatedly compete for customer budgets.
As the capability gap between models narrows and switching suppliers becomes easier, large enterprise customers have more room to bargain. Beyond model performance, contract discounts, free quotas and technical support are also influencing procurement choices. For model vendors, once a competitor launches a product with similar performance and a lower price, existing customers may switch. The high prices that come with technological leadership are increasingly difficult to sustain over the long term.
Sources: The Information, Reuters, Anthropic, OpenAI
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