we_are_coded.by CODE · The world, decoded
БГ

Thinking Machines · open models

Thinking Machines released Inkling - an open model they don't even market as the strongest

Mira Murati's lab unveiled its first open-weights model. The interesting part is the bet: a base you can download and fine-tune for yourself.

Source
Thinking Machines Lab
Published
The event
Checked on
Responsible editor
Cvetelin Ivanov
How we work
MethodCorrections

Thinking Machines is the lab of Mira Murati - the former chief technical officer of OpenAI. For a long time it showed off ideas and tools, but not a model of its own. Now it has one. It's called Inkling and it comes with open weights - meaning anyone can download it and change it, not just rent it through someone else's cloud.

Fact

The facts: on 15 July 2026 Thinking Machines announced Inkling, an open-weights model of type Mixture-of-Experts. 975 billion parameters total, but only 41 billion switch on at each step. Context up to 1 million tokens; trained on 45 trillion units of text, image, audio, and video. The weights are on Hugging Face; fine-tuning goes through their Tinker platform and partner services (Databricks, Together, Fireworks). There's also a smaller version, Inkling-Small, for cheaper and faster tasks. The company itself writes, literally: 'Inkling is not the strongest model today, open or closed' (per Thinking Machines). Source: Thinking Machines Lab, introducing-inkling, 15.07.2026.

Don't fall for the headline. Half the model news out there is fighting for one line on a leaderboard, and here the company itself says it isn't leading the leaderboard - and that's on purpose. The bet is different: not to rent you the smartest brain, but to give you a base you take home and bend to your own work. For someone who builds things, that's more interesting than any benchmark. Open weights plus a fine-tuning tool means the model can become YOURS, instead of staying someone else's black box that gets swapped out from under you tomorrow.

Here's what I'm taking away for us. I'll leave the numbers in the table to marketing - they change every two months. What matters is whether an open-weights base you can fine-tune for a specific task does a better job than the general rental model. That gets proven in practice - on our data, our task. Until then, Inkling is a promising base, not a finished answer. We'll try it, then we'll tell you.

The visual is generated code-art, no third-party images.