Inkling: Our Open-Weights Model

vimarsh6739 850 points 214 comments July 15, 2026
thinkingmachines.ai · View on Hacker News

Discussion Highlights (20 comments)

ls_stats

America needs its own DeepSeek or Z.ai, a lot of people (myself included) root for open chinese models to win because they have no other choice. Thinking Machines might be it.

alansaber

I never thought i'd see the day they released a model, rather than a blog post. The Figure 3 demo being a screencap of chrome in localhost made me feel better about myself. Jokes aside, best western open weights model- very cool.

verdverm

If it's ~30% bigger and not as good as GLM 5.2, why would I tinker with this model? Maybe for the multi modal?

Reubend

Seems like this is particularly good at instruction following, but not as strong at coding as others. It's always great to get more diversity of open weight models though! I'll need to test this out to see what its "personality" is like.

ianbutler

It's nice to see a strong long context open weights model that is multi-modal. There are many applications that will benefit from the strength in audio here and until z.ai and co work in visual this could be very strong for general agentic applications, though I see there's a bit of weakness in the benches for areas that might make that less true. Like all models need to slap it in your harness and do proper evals on the tasks you care about.

amarble

They also indicate they have a 276B A12B version, but it doesn't seem the weights are available. This might actually be able to fit in 128GB when quantized to 2 bits or so which makes it interesting.

pants2

The Artifical Analysis has a link on their homepage but it 404's :/ https://artificialanalysis.ai/models/inkling

raverbashing

Cool, now we just need the GPU that supports it

janalsncm

For the most part it’s better than Nemotron, worse than GLM. This makes it the best American open weights model from what I can tell?

bobkb

Happy to see an open weight model ! This has all the right ingredients for success.

solomatov

It looks like HuggingFace shows Apache-2.0 but they have AUP. How does it work together?

firasd

Looks like it can be tried at https://tinker.thinkingmachines.ai/playground

bbstats

too bad we'll never know how good it is, since they used a radar plot to show its benchmark scores!

inkvi

Do they have an api to try the model in real envs?

dr_dshiv

What are the different business models for open-weight AI companies?

MaxPock

Raised 2 billion dollars at a 12 billion valuation and debuts at 41 on the Artificial Analysis Intelligence Index, while KIMI and DeepSeek will release Fable-class models this week. What a joke.

minraws

For a first model, and given it's open, I am gaining some faith in American Open research labs again... I couldn't test it since it's not on openrouter or something, but even if it's only as good as GLM5.1 that's more than good enough first attempt, I think. Perhaps a lot more labs will catch up to ballpark frontier esque level soon, I am all for more competition in any field.

mhluongo

Interested in the implied strategy - that training a bespoke model for what you need will make economic sense over using a mass-trained model. I wonder if that's true?

androiddrew

Give me a good 180B param model that fits snuggly on an single DGX spark and I will sing your praises.

ggcr

My personal bet is that this model should really shine in Autoresearch NanoGPT-style speedruns because its first-class integration with Tinker

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