# Thinking Machines amps up bet with open model Inkling

> Thinking Machines, the startup founded by former OpenAI CTO Mira Murati, has released its first open-weight model, Inkling, and the pitch is deliberately against the grain. Rather than chase a one-size-fits-all chatbot, the company is positioning Inkling as a base that enterprises customize for their own tasks. Under the hood it is a mixture-of-experts design with 975 billion total parameters that activates only about 41 billion for any given job. The efficiency claims are the interesting part. Trained on 45 trillion tokens spanning text, image, audio and video, Inkling reportedly matches Nvidia's Nemotron on coding while using roughly a third as many tokens to get there. And the team says it went from founding to release in nine months, a pace it contrasts with the years OpenAI and Anthropic took to ship their early models. For a young lab, an open release is both a statement and a strategy. It invites developers to build on Inkling directly, and it stakes out a lane, specialized and customizable, that the giants chasing general intelligence are less focused on.

_Section: [Daily AI Updates](https://www.wortins.com/daily-ai) · Source: TechCrunch · Published Sunday, July 19, 2026_

## Wortins' read

Thinking Machines, the startup founded by former OpenAI CTO Mira Murati, has released its first open-weight model, Inkling, and the pitch is deliberately against the grain. Rather than chase a one-size-fits-all chatbot, the company is positioning Inkling as a base that enterprises customize for their own tasks. Under the hood it is a mixture-of-experts design with 975 billion total parameters that activates only about 41 billion for any given job. The efficiency claims are the interesting part. Trained on 45 trillion tokens spanning text, image, audio and video, Inkling reportedly matches Nvidia's Nemotron on coding while using roughly a third as many tokens to get there. And the team says it went from founding to release in nine months, a pace it contrasts with the years OpenAI and Anthropic took to ship their early models. For a young lab, an open release is both a statement and a strategy. It invites developers to build on Inkling directly, and it stakes out a lane, specialized and customizable, that the giants chasing general intelligence are less focused on.

## Source

[Read the full story at TechCrunch](https://techcrunch.com/2026/07/15/thinking-machines-amps-up-its-bet-against-one-size-fits-all-ai-with-its-first-open-model-inkling/)

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