PyyanThe AI Index

Pyyan / Compare / Atria Dawn Preview vs Qwen3.8-Flash-Next

Atria Dawn Preview vs Qwen3.8-Flash-Next

2 of 5

Open-Weight Models · verified 16 Sept 2026

SAtria Dawn PreviewShanghai AI Laboratorycurrent
Qwen3.8-Flash-NextAlibabacurrent
3 slots left
SpecificationAtria Dawn PreviewQwen3.8-Flash-Next
Summary744B agentic weights under the MIT licence, published without a launch.The most downloaded thing on Hugging Face right now, and a stated Qwen4 preview.
Context256K262K native, ~1M extended
Input ($/Mtok)Not published$0.15
Output ($/Mtok)Not published$0.47
LicenceMITOpen weights
Max outputNot published32K
Parameters744B total125B total, 6B active
Released14 Sep 202626 Aug 2026
Model IDinternlm/Atria-Dawn-PreviewQwen/Qwen3.8-Flash-Next
CategoryOpen-Weight ModelsOpen-Weight Models
OfficialShanghai AI Laboratory ↗—

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 →

Qwen3.8-Flash-Next

  • 125B total parameters with only 6B active per token
  • Alibaba describes it as a preview of the Qwen4 architecture
  • Top of the Hugging Face trending list, with a GGUF build close behind it

Best for open weights at speed.

Full spec sheet →