OpenAI
ai labCreating safe AGI that benefits all of humanity
OpenAI was founded in December 2015 as a nonprofit AI research company by Sam Altman, Elon Musk, Greg Brockman, Ilya Sutskever, and others, with the stated goal of developing safe artificial general intelligence (AGI) for the benefit of humanity. In 2019, the organization restructured, creating OpenAI LP as a capped-profit subsidiary to attract the capital necessary for increasingly expensive AI research. The company has produced some of the most influential AI systems in the world. The GPT (Generative Pre-trained Transformer) series—GPT-1 through GPT-4—has been foundational to the modern AI revolution. ChatGPT, launched in November 2022, became the fastest-growing consumer application in history, reaching 100 million users in just two months and fundamentally reshaping public perception of AI capabilities. Beyond language models, OpenAI has developed DALL-E for image generation, Whisper for speech recognition, Sora for video generation, and Codex for code generation. These products demonstrate the company's breadth across multiple AI modalities and its commitment to pushing the boundaries of what AI can achieve. OpenAI has formed a deep strategic partnership with Microsoft, which has invested billions of dollars and integrated OpenAI's models into its products, including Azure AI services and Microsoft Copilot. The company has also faced significant internal challenges and public scrutiny, including the dramatic board upheaval in November 2023, which saw Sam Altman briefly removed and then reinstated as CEO. In October 2024, OpenAI raised $6.6 billion at a $157 billion valuation in one of the largest funding rounds in history, led by Thrive Capital with participation from Microsoft, NVIDIA, SoftBank, and others.
Tools by OpenAI
Other AI tools from the same organization.
AI Models by OpenAI
Large language models from the same organization.
| Model | Context Window | Price (In / Out per M) |
|---|---|---|
| GPT-5.6 TerraCurrent | 1.1M | $2.50 / $15.00 |
| GPT-5.6 LunaCurrent | 1.1M | $1.00 / $6.00 |
| GPT-5.6 SolCurrent | 1.1M | $4.00 / $20.00 |
| GPT-5.5 ProCurrent | 1.1M | $30.00 / $180.00 |
| GPT-5.5Current | 1.1M | $5.00 / $30.00 |
| GPT-5.4 MiniCurrent | 400K | $0.75 / $4.50 |
MCP Servers by OpenAI
Connect this tool to AI assistants via the Model Context Protocol.
Resources & Guides
Tutorials, guides, and in-depth resources.
Mentioned In
Resources across the site that reference this entity.
Latest News about OpenAI
Recent coverage and updates
How to Benchmark LLMs: Five Mistakes That Skew Your Results
Most in‑house model comparisons are run in a way that guarantees a misleading answer. Not a wrong one exactly, and rarely a dishonest one. Just an answer that would have come out differently if the person running it had pressed enter a second time.
Infrastructure for Continuous Web Data Collection
A one‑off scrape is a weekend project. Running the same collection job every hour for three years is an infrastructure problem, and most teams underestimate how different those two things are. Continuous collection breaks in ways that batch jobs don't. Sites redesign their markup, rate limits tighten overnight, and the IP pool that worked in March gets flagged by June. The stack has to absorb all of it without a human watching the logs. Here's what the working parts look like when a pipeline actually holds up.
Can You Become Emotionally Dependent on an AI Therapist?
The Modern Job Search Has Changed. Here's What It Takes to Compete.
Why Your AI Translation Still Doesn't Sound Right?
Best Ways to create videos at Scale with Pollo AI Apps
Most content teams don't have a creativity problem. They have a production problem. The ideas are there. The briefs are written. The strategy is clear. What's missing is a reliable way to turn one good idea into enough video output to fill a content calendar — without burning out a designer or blowing through an editing budget. The answer isn't working harder. It's working with a system.
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