AI Startup Thinking Machines Launches an Open-Weight AI Model
By Reuters | 15 Jul, 2026

The new AI model, named Inkling, could serve as one of few alternatives to popular open-source offerings from Chinese AI labs.

FILE PHOTO: Mira Murati, Founder and CEO, Thinking Machines Lab, attends a panel discussion hosted by Jensen Huang, Founder and CEO, NVIDIA (not pictured), during the NVIDIA GTC global AI conference in San Jose, California, U.S., March 18, 2026. REUTERS/Carlos Barria/File Photo

AI startup Thinking Machines revealed on Wednesday a new artificial intelligence model that could serve as one of the few alternatives to popular open-source offerings from Chinese AI labs.

Named Inkling, the model is open-weight, meaning users can download, run and customize the underlying systems, unlike proprietary, closed-source models.

It is the first general-purpose model release to come out of Thinking Machines, a San Francisco-based startup founded last year by OpenAI’s former chief technology officer Mira Murati.

Thinking Machines launched its first product called Tinker, which helps customize AI models, last October. Inkling is available on Tinker and other developer platforms, it said.

The model has 975 billion parameters — variables that determine how an AI system processes information — making it one of the largest models of its kind.

The open-source ecosystem in the West lags behind its counterpart in China, especially in the wake of a void left by Meta, which changed course to a proprietary approach after the disappointing release of its open Llama 4 model last year.

Businesses have in turn flocked to adopt Chinese models as the primary alternatives to expensive closed-source models. Hedge fund Bridgewater Associates used Tinker to build a custom version of Qwen, a model developed by China’s Alibaba, which it said outperformed top proprietary models at lower costs.

Thinking Machines published a series of benchmarks that compared Inkling’s capabilities with closed models from Anthropic, Google, and OpenAI, as well as leading open offerings, most of them from Chinese labs.

While those other models maintain the edge on performance overall, Inkling put in a competitive showing, particularly on agent-related tasks, that could spur interest from prospective users.

(Reporting by Kenrick Cai in San Francisco; Editing by Nia Williams)