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Pyyan / Compare / Beam 1.0 vs Qwen3.8-Flash-Next

Beam 1.0 vs Qwen3.8-Flash-Next

2 of 5

Open-Weight Models · verified 26 Oct 2026

RBeam 1.0Reflectioncurrent
Qwen3.8-Flash-NextAlibabacurrent
3 slots left
SpecificationBeam 1.0Qwen3.8-Flash-Next
Summary501B under Apache 2.0, with nothing asked in return.The most downloaded thing on Hugging Face right now, and a stated Qwen4 preview.
Context1M262K native, ~1M extended
Input ($/Mtok)$0.25$0.15
Output ($/Mtok)$1$0.47
LicenceApache 2.0Open weights
Max output131K32K
Parameters501B total, 23B active125B total, 6B active
Released16 Oct 202626 Aug 2026
Model IDreflection/beam-1.0-501b-a23bQwen/Qwen3.8-Flash-Next
CategoryOpen-Weight ModelsOpen-Weight Models
OfficialReflection ↗—

Highlighted rows are where these differ.

Beam 1.0

  • Apache 2.0, with no attribution clause and no revenue trigger, unlike Meta's Muse licence
  • 52 layers, 256 experts, a 1M token context and a knowledge cutoff of 30 June 2026
  • Reflection claims comparable answers to leading open models with roughly three times fewer reasoning tokens
  • Artificial Analysis scores it 30 on the intelligence index, 19th of 120 models

Best for open weights with no licence conditions attached.

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 →