PyyanThe AI Index

Pyyan / Compare / Atria Dawn Preview vs Muse Spark Open

Atria Dawn Preview vs Muse Spark Open

2 of 5

Open-Weight Models · verified 20 Oct 2026

SAtria Dawn PreviewShanghai AI Laboratorycurrent
Muse Spark OpenMetacurrent
3 slots left
SpecificationAtria Dawn PreviewMuse Spark Open
Summary744B agentic weights under the MIT licence, published without a launch.The largest American open weights, under a licence with a revenue trigger.
Context256K1M
Input ($/Mtok)Not publishedWeights only
Output ($/Mtok)Not publishedWeights only
LicenceMITMuse Model License
Max outputNot publishedNot published
Parameters744B total816B total, 42B active
Released14 Sep 202615 Oct 2026
Model IDinternlm/Atria-Dawn-Previewmeta-models/Muse-Spark-Open-816B-A42B
CategoryOpen-Weight ModelsOpen-Weight Models
OfficialShanghai AI Laboratory ↗Meta ↗

Highlighted rows are where these differ.

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 →

Muse Spark Open

  • Text, image, video and audio in, text out, with a 1M token context
  • Muse Model License, not open source: attribution required, and a separate agreement above $20m of model-service revenue
  • About 1.5TB in BF16, or two Mac Studios at 4-bit

Best for multimodal work you host yourself.

Full spec sheet →