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OPENAI

OpenAI Price

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OPENAI
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*Data last updated: 2026-05-25 05:24 (UTC+8)

As of 2026-05-25 05:24, 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

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Dividend Yield (TTM)0.00%
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Learn More about OpenAI (OPENAI)

Gate Learn Articles

Why doesn't OpenAI want to trade "stocks" on Robinhood?Robinhood launches tokenized stocks of OpenAI and SpaceX, sparking controversy. This article analyzes the legal structure, operational pathways, and community reactions of "equity tokenization," exploring whether it is an attempt at financial democracy or a speculative product cloaked in equality.2025-07-07
ChatGPT by OpenAI Predicts XRP and Cardano Prices: Insider Insights RevealedThis article interprets how OpenAI's ChatGPT predicts the price trends of XRP and Cardano by the end of 2025, and combines the latest market conditions and key driving factors to provide clear references for cryptocurrency investors.2025-06-19
I dropped out of high school, taught myself with AI, and turned things around to become a researcher at OpenAI.Unlike traditional rote memorization, this method sidesteps common traps for AI users—such as cognitive stagnation—by delivering a universal five-step framework. It empowers non-experts to rapidly develop multiple skill sets, anticipates career trends in the era of one-person companies, and offers actionable, practical guidance.2025-12-19

Blogs

OpenAI IPO Valuation Surpasses $1 Trillion: How Gate Pre-IPOs Lower the Investment BarrierOpenAI may have secretly filed for an IPO as early as May 22, targeting a valuation exceeding $1 trillion. Gate has launched a digital Pre-IPO mechanism, allowing early access to trillion-dollar unicorn investment opportunities with just 100 USDT.2026-05-22
GateRouter: Unified API Routing and Intelligent Invocation Infrastructure for the Era of Fragmented Large Language ModelsGateRouter consolidates access to over 40 large models through a single endpoint, fully compatible with the OpenAI SDK. Its intelligent routing system automatically selects the optimal model, reducing overall inference costs by more than 80% on average.2026-05-21
2026 Pre-IPO Valuations Reach New Heights: SpaceX, OpenAI & Capital DynamicsIn 2026, pre-IPO valuations continue to climb, with industry giants like SpaceX and OpenAI preparing to go public. This article takes a deep dive into the three main driving forces behind this trend and explores new investment opportunities emerging from the $3.6 trillion wave.2026-05-20

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OpenAI (OPENAI) Latest News

2026-05-25 03:34Citi: AI Infrastructure Becomes Seller's Market as Anthropic Revenue Jumps 130% in Q2 2026According to Citi research released on May 25, AI infrastructure and scarce inference capabilities have emerged as an absolute seller's market, driven by what the bank terms a "vertical wall of demand" — a phrase originally coined by OpenAI CFO Sarah Friar. Anthropric is projected to generate $10.9 billion in revenue in Q2 2026, representing a 130% quarter-over-quarter increase, while OpenAI achieved $5.7 billion in Q1 2026, Citi noted. The report highlights growing compute and inference costs alongside long-term contract lock-ins from major players, as tech giants extract profits through aggressive tiered pricing amid intense competition for limited resources.2026-05-24 23:07Anthropic Valuation Surpasses $900 Billion as AI Startup Races Ahead of OpenAIAccording to reports, Anthropic is set to complete over $30 billion in funding by next week, pushing its valuation beyond $900 billion and surpassing OpenAI. Unlike OpenAI, which reports losing money on some operations, Anthropic has already achieved profitability, marking a significant shift in the competitive AI landscape.2026-05-24 11:49DeepSeek Cuts V4-Pro API Prices to 25% of Original CostAccording to Guru Club, DeepSeek announced on May 24 that it permanently reduced API prices for its V4-Pro model to 25% of the original level. The move is expected to intensify price competition with international AI competitors including OpenAI, Anthropic, and Google. DeepSeek is also advancing a 7 billion yuan ($980 million) funding round, potentially setting a record for the largest single fundraise by a Chinese AI company. Reported investors include CATL and China's National AI Industry Investment Fund.2026-05-24 07:38Anthropic Valuation Set to Exceed $900 Billion, Surpassing OpenAI on May 23According to Bloomberg, Anthropic is nearing completion of a new funding round that would value the AI startup at over $900 billion, surpassing OpenAI to become the world's most valuable AI unicorn. The funding will primarily support expansion of AI infrastructure to meet surging usage demands. According to the Wall Street Journal, Anthropic's second-quarter revenue is projected to reach $10.9 billion, more than double the previous quarter, positioning the company toward its first profitable quarter.2026-05-24 02:13OpenAI GPT-5.6 Achieves UI Cleanup Breakthrough, Generates Minimal-Design App in Latest Internal BuildAccording to Beating monitor, OpenAI's next-generation model GPT-5.6 (internal codename iris-alpha) has achieved a significant breakthrough in UI design generation, resolving what was previously poor frontend output quality. In its latest build, the model generated a minimal-design notes app called Lumen Notes with mature grid layouts and refined aesthetics—a stark contrast to the cluttered, formulaic interfaces typical of generative AI outputs. The improvement marks OpenAI's focused effort to overcome frontend code generation limitations. GPT-5.6 is expected to launch officially in June, competing directly with Anthropic's Claude Artifacts for high-quality, production-ready code generation.

Hot Posts About OpenAI (OPENAI)

GateUser-c3b832ee

GateUser-c3b832ee

27 minutes ago
Wu Shuo learned that MoonPay announced the launch of a dedicated app on ChatGPT Apps, allowing users to generate cryptocurrency purchase checkout links within the OpenAI chatbot, supporting assets such as Bitcoin, XRP, Solana, and USDC. Users still need to complete the standard KYC, wallet linking, and checkout process through the MoonPay website before making a purchase.
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WuSaidBlockchainW

WuSaidBlockchainW

28 minutes ago
Wu Shuo learned that MoonPay announced the launch of a dedicated app on ChatGPT Apps, allowing users to generate cryptocurrency purchase checkout links within the OpenAI chatbot, supporting assets such as Bitcoin, XRP, Solana, and USDC. Users still need to complete the standard KYC, wallet linking, and checkout process through the MoonPay website before making a purchase.
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金色财经_

金色财经_

44 minutes ago
OpenAI hasn't gone public yet, but it's already listed in the crypto world. This sentence sounds like a joke, but it's actually true—it's just different from what everyone understands. The latest publicly disclosed information from OpenAI is that they will complete a $122 billion committed capital financing round by March 31, 2026, with a post-money valuation of $852 billion. In late May, some media reported that OpenAI is preparing to confidentially submit IPO documents, and OpenAI's public response has been quite restrained: the company will regularly evaluate various strategic options. In other words, in the traditional capital markets, OpenAI remains a super unicorn that hasn't yet gone public. But in the crypto market, the IPO expectation for OpenAI has already been turned into a product that can be subscribed to, traded, and even leveraged for long or short positions. These so-called OpenAI equity trading tokens are not essentially OpenAI stocks that are being listed early; rather, they package "future economic benefits after OpenAI goes public" into a tradable on-chain contract or rights certificate. What’s interesting here isn't just that crypto exchanges are jumping on a hot trend again. It's that they are forcibly bringing something that originally belonged only to the primary market, private equity funds, family offices, and a few high-net-worth investors, into a 24-hour trading crypto market—accessible to everyone worldwide. It's not the stock that's being listed -------- Names containing "OpenAI," "pre-IPO," and similar terms might lead ordinary users at first glance to think they've bypassed traditional brokers and private placement thresholds, buying OpenAI equity early. But a careful look at the product description reveals the platform's specific explanation: the product does not represent direct ownership of OpenAI equity or shares; it has no legal relationship with OpenAI; OpenAI has not recognized, approved, or authorized this product; what investors get is a mirror or tracking return of the economic performance after the company goes public. This distinction is very important. If you actually hold stock, it means you are at least legally part of the company's equity structure. Even if held indirectly through brokers, custodians, or funds, you should be able to clarify share registration, beneficial rights, voting rights, dividend rights, disclosure obligations, transfer restrictions, and liquidation priority. But these token products, first and foremost, confront investors with not OpenAI itself, but the platform, issuer, custody arrangements, smart contracts, and related agreements. Your rights are to be found in the subscription agreement, user terms, and issuance documents. Essentially, you're not holding a stock certificate issued by OpenAI, but a financial contract designed by a third party that attempts to link to OpenAI's future valuation once it goes public. This doesn't necessarily mean it has no value. Many traditional financial products are also contractual arrangements—structured notes, CFDs, fund units, total return swaps. The issue is that contracts carry their own risks, while equity rights are different; they are not interchangeable. How the product works -------- Recently, crypto products related to OpenAI in the market can roughly be divided into two categories. The first is subscription-based pre-IPO tokens. These products are usually issued by an offshore issuer, deployed on a public blockchain, and offered to users via overseas crypto platforms. For example, a recent platform launched an OpenAI-related pre-IPO token, with a subscription price of $725 per token, implying an implicit valuation of about $898.21 billion for OpenAI; subscriptions are made with stablecoins, with a minimum threshold of $100 per user; after subscription, tokens are released in three batches of 30%, 30%, and 40%; after release, they can be traded on spot markets. It also designs a future exit path: if OpenAI completes an IPO later, after the lock-up period of the underlying assets, usually around six months post-IPO, the issuer may convert the tokens into stock-related assets or stablecoins based on the market price after listing. Note a few keywords here: future, possible, post-listing, market price, issuer. This means it’s not giving you OpenAI stock now, nor guaranteeing that OpenAI will definitely go public, nor that the subscription price equals the future IPO price. It locks users’ expectations on a future event: how the related contract mechanisms will be fulfilled after OpenAI completes its IPO. The second category is perpetual contracts based on pre-listing valuation. These products are more like familiar derivatives in the crypto market. The platform uses the unlisted OpenAI as the underlying, launching perpetual contracts settled in stablecoins, allowing users to trade "OpenAI valuation changes." Users do not hold equity but trade based on contract price fluctuations. Some platforms also design future re-pricing mechanisms: if the company submits a formal IPO filing, discloses actual share counts, the contract parameters may be adjusted; if the IPO is completed, the contract might convert into a standard stock perpetual; if the IPO is canceled or long delayed, the platform may delist or settle according to its rules. Both types of products are selling the expectation of OpenAI. The difference is that subscription tokens emphasize "mirror exposure to future listing benefits," while perpetual contracts are more straightforward—"price trading around an unlisted company's valuation." The former looks more like asset tokenization, the latter more like an early market for derivatives. To visualize, it’s more like this chain: ![](https://img-cdn.gateio.im/social/moments-0096a8f8b5-0ae91d4374-8b7abd-e5a980) Diagram of the OpenAI pre-IPO token operation structure The most critical point is: what is the underlying? If the underlying involves real, verifiable, enforceable assets, investors face risks related to asset quality, custody, valuation, and contract performance. If the underlying mainly involves synthetic prices provided by the platform, then investors face stronger platform credit, market-making, index, and liquidation risks. Why is there market demand? ---------- Why do these products appear? On the surface, it’s retail investors wanting to buy OpenAI. Deeper down, it’s the long-standing inaccessibility of private markets combined with the crypto market’s extreme liquidity creation. In the past, ordinary investors had very narrow paths to invest in companies like OpenAI. You could either participate indirectly through a few private equity funds or wait for the IPO to enter the secondary market. But by then, the earliest and most lucrative growth phases might have already been captured by primary markets and a few institutions. Crypto trading platforms see another opportunity: users already hold stablecoins and are willing to take high volatility risks for hot narratives. By turning the "future listing benefits" of top private companies like OpenAI into tokens or contracts, they can transform the previously closed primary market story into a tradable secondary market product. The business model isn’t complicated; everyone benefits in their own way. For platforms, they gain subscription traffic, trading fees, market-making spreads, derivatives revenue, stablecoin deposits, and high-net-worth user retention. For issuers, they gain issuance, structuring, management, and ongoing service revenues. For market makers and liquidity providers, they get a highly focused, volatile, narrative-rich new asset. More importantly, these products accelerate the platform’s transition from a "cryptocurrency exchange" to a "comprehensive asset trading portal." Today, you can trade Bitcoin, stablecoins, and on-chain assets; tomorrow, you might trade gold, stocks, private equity exposure, RWA assets, and AI company valuations. This is their bigger business ambition. Crypto markets excel at turning unsecuritized, illiquid expectations into prices ahead of actual assets. OpenAI doesn’t have a public stock code yet, but the market has already assigned it a moving price. That price may not be accurate, but it attracts trading. Legal perspective analysis ------- From a legal standpoint, these products are about what rights they actually give investors. If a token represents custody rights to real securities, it’s closer to a “tokenized record of securities rights.” If a token is issued by a third party, with returns linked to a stock or future event of a company, it’s more like a “linked security,” “structured note,” or “security-based derivative.” If it’s a perpetual contract, further analysis involves futures, swaps, CFDs, and local derivatives regulations. In 2026, U.S. regulators’ view on security tokenization is: placing securities on-chain doesn’t automatically exempt them from securities regulation; third-party tokenization of securities issued elsewhere can also form custodial securities, synthetic linked securities, or security swaps. Hong Kong’s approach is similar. They don’t oppose the tokenization of securities and investment products but emphasize the core principle: “Same business, same risks, same rules.” That is, regulators focus not on whether blockchain is used but on whether the product itself is a security, an investment product, who issues it, who sells it, who custody it, whether suitability and disclosure are adequate, and whether technical risks and ownership records are controllable. From this perspective, OpenAI-related equity tokens at least involve several legal issues: First, the company’s authorization. OpenAI is a private company; transfer of shares is usually constrained by articles of incorporation, shareholder agreements, pre-emptive rights, transfer restrictions, and board approval. Even if a third party gains economic exposure through some means, it doesn’t mean they can freely fragment and sell OpenAI shares to retail investors globally. If the product documents explicitly state “no legal relationship with OpenAI, not authorized by OpenAI,” investors should understand that their rights do not originate from OpenAI. Second, the authenticity of the underlying assets. Claims of 1:1 mirror, real share backing, or post-listing conversion sound attractive, but investors should focus on who holds the underlying assets, where they are custodyed, whether they can be audited, whether transfer restrictions exist, and who they can claim rights against in case of default. If the underlying is just a debt asset or contractual arrangement, then there are several layers of legal relationships between that and “owning OpenAI shares.” Third, investor qualification. These products often specify they are only for certain markets or qualified users, and residents of some jurisdictions cannot participate. This isn’t just fine print; it’s core to cross-border securities sales. Launching on an offshore platform doesn’t mean it can be openly promoted to all countries and regions. Especially for mainland Chinese users: if someone promotes such token subscriptions, organizes trading, promises returns, or offers investment channels publicly in China, it could trigger risks related to virtual currency trading, illegal finance, and cross-border securities sales. Fourth, the secondary trading aspect. If tokens can be freely traded on spot markets after release, their prices are no longer just about underlying valuation but also about liquidity, market sentiment, market depth, platform credit, and speculation. Adding perpetual contracts further amplifies risks. An opaque valuation of an unlisted company, placed into a 24/7 leveraged, highly liquid crypto trading system with strong liquidation rules, will almost inevitably lead to price deviations. Therefore, compliance analysis should not only ask “Is this a security?” but also consider: how might it be classified in different jurisdictions; who holds the license; who bears disclosure responsibilities; where do the investors’ funds and rights ultimately reside; and what happens if the platform encounters issues, the issuer goes bankrupt, or OpenAI remains unlisted. Risks investors should watch for --------- For investors, the biggest risk isn’t price volatility but the misperception that they bought A when they actually bought B. First, this isn’t direct equity. These products usually do not grant you shareholder rights, voting rights, dividend rights, audit rights, or shareholder meeting information. You own a third-party promised or designed economic exposure. It may be related to OpenAI’s future value, but it doesn’t mean OpenAI owes you anything. Second, IPO is not a certainty. Even if OpenAI is preparing for an IPO, it doesn’t guarantee it will list at a certain time. Confidential filings, public offerings, pricing, and listing involve long processes. Market conditions, regulatory inquiries, corporate governance, lawsuits, valuation disagreements, and business data changes can all alter the IPO timeline. The product’s statement about “about six months after IPO” depends on the IPO actually happening. Third, valuation may mismatch. OpenAI’s latest official post-investment valuation is $852 billion, but some tokens imply valuations close to $898.21 billion. This difference doesn’t necessarily mean the product is flawed, but it shows that token prices are not the same as the company’s official funding valuation. When the IPO occurs, the market price may be entirely different. Fourth, the uncertainty of underlying assets and regulation. What investors see is a token, but behind it could be an offshore issuer, special purpose vehicle, debt asset, custody arrangement, subscription agreement, lock-up period, or platform conversion rules. Each additional layer adds performance risk. Any problem in one link might prevent investors from directly penetrating to OpenAI’s equity. These products are inherently at the intersection of securities, derivatives, virtual assets, and cross-border sales. If regulators find certain sales, trading, or promotional activities non-compliant, platforms might restrict users, delist products, settle early, or adjust rules. The biggest risk isn’t regulators saying “no innovation,” but rules changing after you’ve already held the position. Fifth, severe information asymmetry. OpenAI isn’t a listed company and doesn’t have the regular financial disclosures of a public firm. External investors rarely see complete income statements, costs, cash flows, ownership structures, priority rights, option pools, investor terms, or major contracts. Often, what you’re trading isn’t the company’s real operational data but market imagination of that name. Small subscriptions might have limited losses, but leveraging perpetual contracts on an unlisted company’s valuation introduces entirely different risks. Without mature stock markets’ continuous disclosures or post-IPO trading anchors, prices depend heavily on order books, indices, and platform rules. Misreading the trend is the first risk; forced liquidation in wrong liquidity conditions is the second. Therefore, I recommend ordinary investors first ask themselves three questions: Can I understand this product’s nature and purchase agreement? If OpenAI doesn’t go public in three years, what’s my exit? If the platform or issuer encounters issues, who can I turn to for rights? If these aren’t clear, don’t rush just because of the OpenAI name. Advice for entrepreneurs and service providers --------- For entrepreneurs and business service providers, this signals a strong market trend: global capital is seeking new channels into top private tech companies, and the traditional private market’s high barriers, lock-up periods, opacity, and illiquidity have created huge space for tokenization platforms. But don’t get carried away. The riskiest mistake is to see the hype around OpenAI tokens and think you can just use any well-known company’s name to create on-chain tokens and sell pre-IPO opportunities to retail investors. This shortcut might generate short-term traffic but will likely lead to legal disputes, regulatory investigations, and brand infringement risks in the long run. More valuable opportunities lie in less flashy areas. First, asset verification services. As pre-IPO tokens, RWA (real-world assets), and private fund share tokens develop, what the market needs most isn’t stories but proof: who owns the underlying assets, are they held securely, can they be audited, are there transfer restrictions, and can rights be traced without duplication? Institutions capable of auditing, custody verification, on-chain proof, legal transparency, and ongoing disclosure will have opportunities. Second, compliant issuance infrastructure. Long-term success in tokenized securities requires more than just writing a smart contract. It needs investor identity verification, jurisdiction restrictions, transfer whitelists, suitability matching, offering documents, risk disclosures, AML monitoring, tax records, dispute resolution, and regulatory reporting. Those who can productize these steps will be the long-term beneficiaries of asset tokenization. Third, private asset liquidity services. Unlisted company shares, fund units, employee options, and secondary transfers have huge liquidity needs. The challenge is not just “listing” but structuring around company consent, transfer restrictions, pre-emptive rights, qualified investors, tax, and disclosure. Service providers who understand both private markets and on-chain records will have advantages over teams that only focus on token issuance. Fourth, investor education and risk disclosure. As these products grow hotter, it’s crucial to explain clearly in layman’s terms: what is equity, what are structured products, what are synthetic contracts, when are they just price trackers, and when do they involve real underlying assets. This work may seem unglamorous but is truly valuable. Fifth, cross-compliance of AI and financial assets. OpenAI is just a flagship case. In the future, more AI companies, data centers, compute contracts, model revenue rights, enterprise contracts, and even AI agent (intelligent entity) economies could be traded. As AI continues to require massive capital, financial products around AI revenues, equity, compute, and infrastructure will proliferate. Summary -------- OpenAI isn’t listed yet, but the market has already priced a tradable asset based on its future IPO expectations. This is one of the most interesting—and riskiest—changes in today’s financial markets. In the past, assets existed first, then markets priced them. Now, expectations are priced first, and markets push assets, contracts, and legal structures to catch up. For investors, don’t treat the name as the asset, don’t treat tokens as stocks, and don’t take the platform’s price as the future IPO price. For entrepreneurs, don’t just chase trading hype. The more stable opportunity lies in ensuring asset authenticity, legal clarity, investor qualification, on-chain record integrity, disclosure, and cross-border compliance. Often, the hardest part of financial innovation isn’t putting assets on-chain but making sure those on-chain numbers can stand firm in the real legal world. This is the most important reflection in this OpenAI pre-IPO token craze.
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