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Inkling vs Atria Dawn Preview

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Open-Weight Models · verified 16 Sept 2026

TInklingThinking Machines Labcurrent
SAtria Dawn PreviewShanghai AI Laboratorycurrent
3 slots left
SpecificationInklingAtria Dawn Preview
Summary975B under Apache 2.0, shipped as a starting point rather than a finished product.744B agentic weights under the MIT licence, published without a launch.
Context1M256K
Input ($/Mtok)Weights onlyNot published
Output ($/Mtok)Weights onlyNot published
LicenceApache 2.0MIT
Max outputNot publishedNot published
Parameters975B total, 41B active744B total
Released15 Jul 202614 Sep 2026
Model IDNot publishedinternlm/Atria-Dawn-Preview
CategoryOpen-Weight ModelsOpen-Weight Models
OfficialThinking Machines Lab ↗Shanghai AI Laboratory ↗

Highlighted rows are where these differ.

Inkling

  • Pretrained on 45 trillion tokens of text, images, audio and video, with an encoder free architecture
  • Apache 2.0, weights on Hugging Face, same day fine tuning through the lab's Tinker platform
  • The lab earns from the compute customers use to adapt it, not from per token access

Best for fine tuning on your own data.

Full spec sheet →

Atria Dawn Preview

  • Built on Zhipu's open GLM-5.2 rather than trained from scratch
  • 96.0 on DeepSearchQA and 86.5 on CyberGym, both reported by the lab
  • BF16 and FP8 checkpoints, served through SGLang or vLLM

Best for agentic work on your own cluster.

Full spec sheet →