Compare / OpenAI vs GitPod
OPENAI
Started as a nonprofit to save humanity from AI, converted to a "capped-profit" structure when saving humanity…
GITPOD
GitPod set out to kill "works on my machine." Click a button and get a fully configured development environmen…
AT A GLANCE
FUNDING HISTORY
OpenAI
GitPod
BUSINESS MODEL
OpenAI
OpenAI makes money primarily through API access and subscriptions. The API charges developers per token (roughly per word) for using GPT models in their applications.
ChatGPT Plus costs $20/month for individual users, ChatGPT Team is $25-30/user/month, and ChatGPT Enterprise is custom-priced. Microsoft pays OpenAI licensing fees and also resells OpenAI models through Azure OpenAI Service.
OpenAI's annualised revenue ran past $13 billion during 2025 and kept climbing from there, which is the kind of growth curve that normally only exists in a pitch deck.
GitPod
GitPod started as freemium: a free tier of monthly cloud hours, paid plans for more hours and bigger workspaces, and enterprise contracts with self-hosted and dedicated options. As Ona it shifted toward enterprise contracts for running AI coding agents inside a customer's own cloud, with governance and security controls.
It said enterprise annual recurring revenue quadrupled year over year before the rename. OpenAI acquired the company in 2026, and existing customer commitments continue to be supported.
HOW THEY STARTED
OpenAI
OpenAI was founded in December 2015 as a nonprofit AI research lab. The founding donors — including Elon Musk, Sam Altman, Peter Thiel, Reid Hoffman, and Jessica Livingston — pledged $1 billion with a mission to build artificial general intelligence (AGI) that would benefit all of humanity.
The idea was that AI was too important and too dangerous to leave in the hands of Google alone.
Sam Altman became chairman while Greg Brockman (former CTO of Stripe) became president. Ilya Sutskever, one of the most respected AI researchers alive, left Google Brain to become chief scientist.
The early team was stacked with world-class researchers who published their work openly — hence "Open" AI.
But AI research turned out to be staggeringly expensive. Training large models required millions of dollars in compute.
In 2019, OpenAI created a "capped-profit" subsidiary — investors could earn up to 100x their money, but profits beyond that would flow to the nonprofit. Microsoft invested $1 billion.
The mission was still to save humanity. The method now involved making a lot of money first.
GitPod
The GitPod team came out of TypeFox, a German developer tools company in Kiel behind the Theia cloud IDE framework. Sven Efftinge and his colleagues realized the biggest pain point was not the editor itself but the environment.
Developers spent hours configuring machines, installing dependencies and debugging "it works on my machine" problems.
They launched GitPod to provide instant, automated cloud development environments. One click from a GitHub or GitLab repo opened a fully configured workspace with dependencies installed and tools ready.
Johannes Landgraf, who became CEO, and CTO Christian Weichel later led the company through its rename to Ona in 2025 and its sale to OpenAI in 2026.
HOW THEY GREW
OpenAI
ChatGPT's launch in November 2022 was the growth strategy — it just wasn't planned that way. The team expected a modest research preview.
Instead, ChatGPT hit 1 million users in 5 days and 100 million monthly active users in 2 months, making it the fastest-growing consumer application in history. The product went viral because it felt like magic — for the first time, anyone could have a natural conversation with a machine that seemed to understand them.
The Microsoft partnership provided distribution at massive scale. Microsoft integrated OpenAI models into Bing, Office 365 (Copilot), GitHub (Copilot), and Azure.
Overnight, hundreds of millions of Microsoft users had access to OpenAI technology. Microsoft's $13 billion investment was the largest AI bet in history and gave OpenAI nearly unlimited compute.
The API created an ecosystem. Thousands of startups built products on top of OpenAI's models — from customer service bots to coding assistants to content generators.
Each API customer locked themselves into OpenAI's ecosystem, creating switching costs and recurring revenue.
GitPod
GitPod grew through open source community adoption and one-click integrations with GitHub, GitLab and Bitbucket, where a "Gitpod" button on a repo launched a ready workspace. It later moved upmarket to banks and pharmaceutical companies that wanted cloud development under tight security.
In 2025 it bet the company on AI agents, renaming itself Ona and claiming its own agents were producing most of its merged code. That bet ended in a sale to OpenAI in 2026.
THE HARD PART
OpenAI
The board crisis of November 2023 nearly destroyed the company. The nonprofit board fired Sam Altman as CEO on a Friday, citing a loss of confidence.
Within 48 hours, 95% of employees threatened to quit and follow Altman to Microsoft. By Tuesday, Altman was reinstated and the board was restructured.
The incident exposed the fundamental tension between OpenAI's nonprofit governance and its for-profit ambitions — a tension it finally addressed in late 2025 by restructuring the business as a public benefit corporation sitting under the original nonprofit.
The cost of training frontier models is eye-watering. Each new GPT generation costs hundreds of millions to train.
OpenAI is reportedly spending over $7 billion annually on compute. The company is burning through cash faster than almost any startup in history, which is why it keeps raising at higher and higher valuations.
If revenue growth slows before costs stabilize, the math gets ugly.
Safety concerns are not going away. Multiple prominent researchers have left OpenAI over disagreements about the pace of development versus safety research.
Ilya Sutskever, the chief scientist who was central to the board's decision to fire Altman, left in 2024 to start a safety-focused AI lab. The public debate about whether OpenAI is moving too fast — and whether its safety commitments are genuine — grows louder with every capability improvement.
GitPod
GitHub Codespaces, backed by Microsoft and GitHub's enormous distribution, was a direct competitor, and AWS stopped taking new Cloud9 customers in 2024, a sign of how tough the cloud IDE market was. Convincing developers to give up their carefully configured laptops proved hard.
Then AI coding tools threatened to make the whole category a feature. GitPod's answer was to reinvent itself as Ona, an AI agent platform, and ultimately to sell to OpenAI in 2026 rather than compete alone.
THE PRODUCTS
OpenAI
ChatGPT is the consumer chatbot — the product that made AI mainstream overnight. The flagship GPT models are multimodal, handling text, images, and audio in one system.
The OpenAI API lets developers integrate GPT into any application. DALL-E generates images from text descriptions.
Whisper transcribes and translates audio. Sora generates videos from text prompts.
GPT Store lets users create and share custom GPT agents. ChatGPT Enterprise gives businesses a private, secure version of ChatGPT with admin controls and no data training.
GitPod
Before 2025: cloud development environments, instant pre-configured workspaces defined in a .gitpod.yml file, with prebuilds and support for VS Code and JetBrains, plus a self-hosted enterprise option. As Ona (since September 2025): a platform for running software engineering AI agents in secure, sandboxed cloud environments, with VS Code in the browser and access from phone, tablet or laptop.
Since August 2026 the technology is part of OpenAI's Codex team.
WHO BACKED THEM
OpenAI
Microsoft ($13B), Thrive Capital, Khosla Ventures, Sequoia Capital, Founders Fund, Tiger Global, SoftBank, a16z
GitPod
Speedinvest led the $3 million seed in October 2020, with Crane Venture Partners and Vertex Ventures US. General Catalyst led a $13 million round in April 2021.
GitHub founder Tom Preston-Werner led the $25 million Series A in November 2022. Total funding was about $41 million.