OpenAI's quarterly #revenue crossed $10 billion for the first time, driven by strong demand for its recent AI models, Bloomberg reported, citing anonymous sources. If true, that would represent an almost 50% jump from the $6.7 billion in sales the company reportedly recorded in the second quarter. That would also mark a sizable increase in its revenue growth rate, which was previously said to be about 18% between the first and second quarters of the year.
OpenAI's profitability picture also appears to have improved, with its adjusted operating margin narrowing from -150% in the second quarter to -109% in the third quarter, the report said.
OpenAI, one of the first to commercialize AI models, wasn't exactly struggling to continue growing its top-line expansion — 18% growth on top of $5.7 billion in quarterly revenue is massive by any measure, especially compared to most software businesses.
But it was seeing those gains be trumped by its archrival Anthropic, which has taken the lead in capturing the #enterprise market for AI models and recently reported Q3 revenue of $17 billion. OpenAI's broader focus helped it attract a large user base and gain popularity early on, and it says it has over a billion users, but it's reasonable to assume most of those are free users or subscribers to its cheapest plans.
Still, the company lagged #Anthropic in catering to enterprises, a market where the Claude maker has pulled ahead, at least in terms of revenue growth.
OpenAI has recently benefited from a combination of tighter pricing, discounts, improving models, and a greater focus on building more enterprise-focused products and AI agents that can help people complete tasks.
OpenAI has now reached an annual revenue run rate of $50 billion, according to Bloomberg. Meanwhile, Anthropic, which is seeking a $1.4 trillion valuation in an IPO likely to happen soon, said yesterday that its annual revenue run rate had increased by $10 billion within a month to $81 billion as of the end of October.
(Note that OpenAI and Anthropic calculate their annualized revenue differently: Anthropic counts sales made by its cloud partners, while OpenAI only reports its share of some sales through its partners.)
None of those figures are small, of course, but the companies are also competing with models from Meta, Amazon, Microsoft, and Google, as well as a plethora of cheaper but still highly capable models from open source AI labs, especially those from China.
[AgentUpdate Depth Analysis]OpenAI's $10 billion quarterly revenue milestone is more than a commercial win—it signals a critical inflection point in the AI Agent ecosystem. Compared with Anthropic, whose Claude-based enterprise Agent workflows have driven annualized revenue to $81 billion, the enterprise market's demand for reliable, auditable, and orchestrated Agents is exploding. OpenAI's billion-user base, largely free or low-tier, does not directly translate into Agent deployment revenue; its recent pivot toward enterprise products and Agent-building is a defensive response to Anthropic's lead. For the ecosystem, this revenue race will accelerate deep coupling between Agent frameworks (e.g., LangChain, CrewAI) and model APIs, pushing interoperability protocols like MCP toward de facto standards. Longer term, as model capabilities converge, Agent differentiation will hinge on tool-calling reliability, multi-step task orchestration, and cost control—precisely the rationale behind OpenAI's pricing adjustments. For Chinese developers, the rise of open-source models and low-cost Agent solutions means the global Agent ecosystem will not be monopolized by a single giant; vertical-scenario Agent deployment capability will be the core battleground in the next phase.
