OPENAI

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OPENAI
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*Data last updated: 2026-04-20 03:49 (UTC+8)

As of 2026-04-20 03:49, OpenAI (OPENAI) is priced at $0, with a total market cap of --, a P/E ratio of 0,00, and a dividend yield of %0,00. Today, the stock price fluctuated between $0 and $0. The current price is %0,00 above the day's low and %0,00 below the day's high, with a trading volume of --. Over the past 52 weeks, OPENAI has traded between $0 to $0, and the current price is %0,00 away from the 52-week high.

OPENAI Key Stats

P/E Ratio0,00
Dividend Yield (TTM)%0,00
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OpenAI (OPENAI) Latest News

2026-04-17 23:01

DeepSeek Seeks $300M at $10B Valuation as OpenAI, Anthropic Valuations Spark Market Debate

Gate News message, April 17 — According to The Information, DeepSeek is in talks to raise at least $300 million at a valuation of $10 billion, a fraction of leading U.S. AI companies: OpenAI commands $852 billion, while Anthropic is valued at up to $800 billion. The valuation gap has sparked investor debate over whether DeepSeek represents a bargain or if American AI firms are overpriced. DeepSeek's R1 model, launched in January 2025, trained for approximately $5.6 million—a fraction of the hundreds of millions typically spent by U.S. laboratories—triggered a market shock that erased nearly $1 trillion in U.S. equity value in a single day, with Nvidia losing close to $600 billion in market capitalization. Since then, performance rankings between U.S. and Chinese models have traded the top position multiple times; as of March 2026, Anthropic's leading model holds just a 2.7% performance advantage, according to Stanford University's 2026 AI Index. On the revenue front, OpenAI reported an annualized run rate of $25 billion in February, while Anthropic surged from $9 billion at end-2025 to $30 billion by March, driven primarily by Claude Code demand. In Q1 2026, just four deals—OpenAI, Anthropic, xAI, and Waymo—accounted for 63% of total capital raised globally. SpaceX-xAI is targeting an IPO valuation potentially exceeding $1.75 trillion, potentially the largest IPO in market history. Some investors have raised concerns about OpenAI's current valuation, with one backer telling the Financial Times that justifying the $852 billion price requires assuming an IPO valuation of $1.2 trillion or more. The extreme valuation gap between DeepSeek and American AI leaders is now raising questions about whether speculative appetite, rather than revenue-generating capability, is driving market prices.

2026-04-17 20:01

Cerebras Files for IPO as OpenAI Deal Expands to Over $20B

Gate News message, April 17 — Cerebras, an Nvidia-backed chipmaker, is set to file for an initial public offering (IPO) before market close on Friday, April 18, according to sources familiar with the matter. The company manufactures chips designed to run artificial intelligence models and has shifted its business model from selling hardware to operating its own chips in company-controlled data centers and offering computing power as a cloud service. Cerebrass' partnership with OpenAI has significantly expanded. In January, the company announced it would provide up to 750 megawatts of computing power to OpenAI through 2028 in a deal valued at over $10 billion. That arrangement has now expanded to more than $20 billion, with OpenAI also set to receive warrants to purchase Cerebras shares. OpenAI executive Sachin Katti stated the company uses Cerebras for "a dedicated low-latency inference solution" that enables "faster responses, more natural interactions, and a stronger foundation to scale real-time AI." Cerebras currently provides OpenAI with cloud-based compute for coding tools. The IPO filing comes as AI chip startups attract substantial investment. In February, Cerebras raised $1 billion in financing at a $23 billion valuation. Across 2026, MatX, Ayar Labs, and Etched each closed $500 million funding rounds, while European firms Axelera and Olix raised over $200 million each. Meanwhile, Intel stock hit its highest intraday level since the dot-com era at $69.55 on April 17, up 90% this year. The company agreed to a $14.2 billion buyback of an Ireland plant and partnered with Elon Musk's Terafab project for semiconductor development.

2026-04-17 09:21

OpenAI Updates Codex to AI Agent That Controls Desktop, Automating Development Workflows

Gate News message, April 17 — OpenAI has upgraded Codex, transforming it from a coding assistant tool into an agent-based service that runs directly on users' computers and can control applications autonomously. The new version operates in the background, capable of opening and manipulating apps, automating code writing, modification, testing, and review processes. The updated Codex supports task continuity, allowing it to resume interrupted work and handle long-term development projects consistently. It can review GitHub feedback, manage remote environments, and operate through a UI-based interface where developers can view changes on an in-app browser and direct modifications. The tool also integrates with over 100 applications including Slack, Gmail, and Notion, enabling it to handle workflows beyond development, such as task organization and follow-up suggestions. The upgrade represents a strategic shift from a terminal-based coding tool to an AI that manages entire desktop environments. OpenAI is also providing a separate agent SDK and integrating the technology into enterprise workflows. Competitor Anthropic has released similar capabilities through Claude and Coworker, automating computer control while users are away. Industry analysts note that AI coding tool competition is rapidly moving from simple code generation to comprehensive workflow automation agents.

2026-04-17 08:12

Shinsegae Group Abandons OpenAI Collaboration for Reflection AI Partnership, Shifts Retail Strategy

Gate News message, April 17 — Shinsegae Group has suspended its collaboration with OpenAI just 11 days after announcing a strategic partnership on April 6, pivoting instead to an expanded partnership with U.S. AI company Reflection AI. The South Korean retail conglomerate announced on April 17 that it will accelerate projects applying AI across retail operations including product sourcing, inventory management, and customer management, following a memorandum of understanding signed with Reflection AI in March for building and jointly operating an AI data center. The group cited "selective focus" as the reason for ending the OpenAI collaboration. The original plan involved separate infrastructure cooperation with Reflection AI and software cooperation with OpenAI; the company has now decided to consolidate these efforts under a single partner to prioritize AI-driven retail innovation and accelerate execution speed. Market analysts suggest the decision also reflects concerns about the limited differentiation of ChatGPT-based shopping functionality and the effectiveness of the AI commerce model, as embedding apps within ChatGPT mirrors existing service capabilities already offered by many companies. The shift aligns with challenges facing AI commerce globally. Walmart, which partnered with OpenAI to test shopping features within ChatGPT, discontinued the service in March due to low conversion rates. According to Wired, direct purchases within ChatGPT achieved only about one-third the conversion rate of customers directed to Walmart's website. Additionally, concerns arose over inaccurate or outdated information regarding inventory status, shipping timelines, and delivery costs, with research firm Forrester noting that OpenAI faces difficulty obtaining sufficient product data exposure from retail partners' websites.

2026-04-17 06:51

OpenAI Agrees to Pay Over $20 Billion for Cerebras Chips Over Three Years, Receives Equity Stake

Gate News message, April 17 — OpenAI has reached an agreement with Cerebras to purchase over $20 billion worth of the company's AI chips over the next three years, according to reports. As part of the deal, OpenAI will receive an equity stake in Cerebras. The partnership is expected to help OpenAI reduce its computational costs as it scales its AI infrastructure and services.

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CryptoCity

CryptoCity

34 minutes ago
![](https://img-cdn.gateio.im/social/moments-b25c175f53-69e5b78ebf-8b7abd-badf29) Previously, former OpenAI researcher Leopold Aschenbrenner doubled $225 million to $5.5 billion through his fund. He said the bottleneck in AI development lies in electricity, not chips or models. Previously, a former OpenAI security researcher and a German man just 24 years old, Leopold Aschenbrenner managed to turn $225 million of the fund Situational Awareness he oversaw into $5.5 billion in less than a year. While Wall Street money was flooding into AI models and chipmakers, he spotted a blind spot that the market was ignoring: electricity. By precisely betting on the infrastructure to solve AI’s power-hungry problem, he created astonishing investment returns. After leaving OpenAI, he turned around and threw himself into the AI investment market ----------------------- After leaving OpenAI, Aschenbrenner wrote a 165-page report, claiming that general artificial intelligence (AGI) would arrive faster than everyone thinks, and that the final winners would not be companies with the strongest AI models, but rather companies that “control electricity.” For this, he set up a hedge fund called “Situational Awareness LP,” and poured $875 million into buying shares of fuel cell company Bloom Energy. This week, Bloom Energy announced that it had signed a major fuel cell order of 2.8 billion watts (GW) with Oracle, causing the stock price to surge 15% after-hours, and the book value of Aschenbrenner’s holdings also instantly jumped to nearly $2 billion. Portfolio revealed: go long on infrastructure, short traditional IT industries ------------------------- Reports say his investments all follow the logic of “electricity first”: * Bloom Energy (BE): Invested $875 million to buy this fuel cell company. The technology enables data centers to generate power on-site directly, without relying on an outdated power grid. Benefiting from the 2.8 GW deal signed with Oracle, the stock surged, and the book value of his holdings has already climbed to nearly $2 billion. * CoreWeave (CRWV): Invested $700 million in this top AI cloud computing infrastructure provider, locking in scarce infrastructure resources. * Infosys (INFY): Aggressively shorted this Indian IT outsourcing giant; he expects AI coding agents will completely wipe out traditional IT outsourcing businesses. * Intel (INTC): Used Intel call options to leverage his position, earning several times more returns as the stock rebounded strongly by 53%. * Core Scientific (CORZ): Holds a 10% stake. This former bitcoin mining company is pivoting to convert its existing power facilities into AI data center colocation sites. The power-hungry monster behind computing power: electricity use doubles year after year ----------------- Aschenbrenner said that looking back to 2022, the compute cluster used to train GPT-4 consumed about 10 megawatts (MW) of electricity, costing about $500 million. However, AI compute demand is expanding at roughly a half-order of magnitude every year, which means the power demand of the largest training clusters will double every 12 to 18 months. By 2024, the power consumption of the largest compute clusters has reached 100 MW, equivalent to 100,000 high-end graphics processing units (GPUs) running simultaneously. Now in 2026, the leading training clusters require as much as 1 GW of continuous power, equivalent to the power generation output of a large nuclear reactor. Whoever controls electricity controls the future of AI --------------- He estimates that by 2028, power consumption for AI training will soar to 10 GW—bigger than the electricity generation output of entire many U.S. states. By 2030, it will reach 100 GW, consuming as much as 20% of the United States’ current total electricity generation at once. This is only the electricity used for “training” models; if you add the “inference” compute that is actually used by the public, the electricity consumption becomes even harder to imagine. However, over the past decade, the United States’ total electricity generation has grown only slightly by 5%. Now reports from across the country about major shortages of transformers and data centers that can’t get built are proof that the power grid can’t support the demand. That’s also why he dares to heavily bet on Bloom Energy: the real bottleneck for AI development isn’t chips or software—it’s whether human beings can produce enough electricity. * This article is reproduced with authorization from: 《Chain News》 * Original title: 《24-fold annual return! A 24-year-old fund manager’s AI portfolio targets the “most scarce resource”》 * Original author: Co2
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