Murati's Thinking Machines Releases Open-Weights 975B Parameter LLM

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.

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?

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

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.

https://thinkingmachines.ai/model-card/inkling/

975B parameter 41B active

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?

Cool, now we just need the GPU that supports it

[dead]

[flagged]