OpenAI and Anthropic are escalating their competition across artificial intelligence, pursuing markedly different strategies in pricing, infrastructure, enterprise adoption and potential public-market ambitions, according to information shared on X by @coinbureau.

OpenAI is cutting prices for its GPT-5.6 Sol API by more than 20% for the next three months, while also introducing ads inside ChatGPT and rolling out 14-times-faster inference, the post said. Anthropic, meanwhile, has reached $65 billion in annual revenue and is developing its own custom chips. The company is also targeting a $2 trillion initial public offering in October, while OpenAI's IPO has reportedly been delayed to 2027.

The figures highlight the diverging positions of the two AI companies as they compete for consumers, enterprise customers and developers in an increasingly crowded market. The rivalry is among the most closely watched in technology: OpenAI's ChatGPT, launched in November 2022, brought conversational AI to mainstream audiences, and the company counts Microsoft among its major backers. Anthropic was founded in 2021 by former OpenAI researchers and has received major investments from Google and Amazon, tying it to two of the largest cloud-computing providers.

OpenAI Cuts GPT-5.6 Sol API Prices

Pricing is one component of OpenAI's strategy, with GPT-5.6 Sol API prices being reduced by more than 20% for the next three months, according to the information shared on X.

API pricing carries particular weight in the AI industry because developers and businesses often access models through application programming interfaces rather than directly through consumer-facing applications. Lower prices can affect how companies evaluate the cost of integrating artificial intelligence into their products and services. Limited-time discounts are also an established competitive tactic in cloud computing and enterprise software, where providers often use them to encourage developers to test and shift workloads.

OpenAI is also reported to have introduced ads inside ChatGPT this month. Advertising would add a revenue stream alongside the subscriptions and API usage that have been the company's main commercial sources to date. The combination of lower API pricing and changes to ChatGPT represents an expansion of the company's commercial strategy as it continues to develop both consumer and enterprise AI products.

OpenAI Reports Faster AI Inference

The post also said OpenAI has rolled out 14-times-faster inference. Inference refers to the process through which an AI model generates an output after receiving an input, and faster inference can be important for applications where response time and computing costs are major considerations.

For developers and businesses, improvements in inference speed can affect how AI systems are integrated into software and workflows. The reported improvement adds another dimension to OpenAI's efforts to compete with other major AI providers, and alongside pricing changes, performance improvements can influence how customers compare AI models when selecting technology for their applications.

Anthropic Reaches $65 Billion in Annual Revenue

Anthropic is taking a different approach as it expands its commercial operations. According to the post, the company has reached $65 billion in annual revenue, a figure that underscores the scale of Anthropic's business as demand for generative AI expands among companies and institutions. Anthropic's products are built around its Claude model family, which competes with OpenAI's GPT models and is available through consumer and enterprise offerings.

Anthropic is also developing its own custom chips, according to the information shared by @coinbureau. Developing specialized computing hardware can give an AI company greater control over the infrastructure required to train and operate large models, and the move reflects the industry's broader focus on computing capacity as companies compete to expand AI services. Custom silicon is an established strategy among large technology firms: Google builds its Tensor Processing Units, and Amazon has developed Trainium and Inferentia accelerators for AI workloads. The post does not provide details about the specifications, production plans or deployment timeline for Anthropic's custom chips.

Anthropic Targets $2 Trillion IPO

Anthropic is reportedly targeting a $2 trillion IPO in October, according to the post. By comparison, OpenAI's IPO has reportedly been delayed to 2027.

The contrasting timelines reflect different approaches to potential public-market listings, although the information provided does not include further details about either company's plans or the reasons for the reported delay.

A potential $2 trillion valuation would place Anthropic among the world's largest technology companies if achieved, but the figure described in the post represents a target rather than a confirmed market valuation. For scale, the largest public listing to date is widely cited as Saudi Aramco's 2019 debut, which valued the company at roughly $1.7 trillion; a $2 trillion listing would exceed any IPO valuation on record. In the United States, a listing would also involve formal registration filings and regulatory review before shares could be offered to public investors. Any eventual public offering would depend on market conditions, regulatory requirements and the company's final plans.

Anthropic Leads Enterprise Adoption

The competition between the two companies is also evident in enterprise adoption. According to data cited by @coinbureau from Ramp, Anthropic leads U.S. enterprise adoption at 43.5%, compared with 39.7% for OpenAI, suggesting a stronger position among U.S. businesses on the cited measure.

Ramp is a corporate spend-management company that provides business cards and expense software, and its adoption figures are drawn from aggregated spending and subscription activity across its business customers. That makes the data a frequently cited proxy for enterprise software adoption rather than a census of all U.S. businesses. Enterprise adoption is an important metric for AI companies because businesses represent a major potential source of recurring revenue through model access, software subscriptions and API usage. However, enterprise adoption is only one measure of market position and does not necessarily reflect overall user numbers.

OpenAI Maintains a Larger Reported User Base

OpenAI has a substantially larger reported user base in the figures cited by the post. According to Ramp data referenced by @coinbureau, OpenAI has 900 million weekly users, compared with 245 million monthly users for Anthropic.

Because the figures use different time periods, they should not be interpreted as a direct like-for-like comparison of weekly and monthly active users. Nevertheless, they illustrate the scale of OpenAI's consumer reach relative to the user figure attributed to Anthropic. ChatGPT has become one of the most widely recognized consumer AI products, while Anthropic has placed significant emphasis on enterprise customers and professional applications.

Two Different Strategies in the AI Race

The figures presented in the post illustrate how OpenAI and Anthropic are competing across several different dimensions. OpenAI is focusing on pricing, model performance and its large consumer user base while continuing to develop commercial opportunities through ChatGPT and its API. Anthropic is emphasizing enterprise adoption, revenue growth and infrastructure investment, including custom chip development.

The two companies therefore show different strengths based on the figures cited in the update. OpenAI's reported 900 million weekly users substantially exceeds Anthropic's reported 245 million monthly users, while Anthropic's 43.5% U.S. enterprise adoption rate is higher than OpenAI's 39.7% according to the cited Ramp data. Both also operate in a broader competitive field that includes Google, Meta, Microsoft and xAI, all of which are investing in foundation models, infrastructure and distribution.

AI Competition Enters a New Phase

The latest figures show that competition between OpenAI and Anthropic extends beyond the performance of individual AI models. Pricing, inference speed, enterprise adoption, computing infrastructure, revenue and user growth are all becoming important factors in determining the position of major AI companies.

OpenAI's reported price reduction and faster inference could affect how developers evaluate its technology, while Anthropic's reported revenue growth and custom-chip efforts point to continued investment in infrastructure and enterprise expansion. Meanwhile, the contrasting IPO timelines add another layer to the competition.

The figures cited by @coinbureau provide a snapshot of two companies pursuing different paths within the rapidly developing AI industry. Among the developments readers can track from here are whether OpenAI's three-month discount window is extended, any details on the specifications and deployment of Anthropic's custom chips, and any formal filings or announcements marking concrete steps toward either company's reported public listing plans.

Source: Hokanews. Writer: Victoria Hale, Technology & Blockchain Writer.