---
id: "2026-08-26-qwen3-8-flash-next"
url: "https://postcutoff.com/e/2026-08-26-qwen3-8-flash-next/"
as_of: "2026-11-13T13:49:00+01:00"
date: "2026-08-26"
date_precision: day
category: open-source
importance: 3
confidence: medium
status: [Partly confirmed]
sources: 8
editor: human editor
human_review: null
version: "2026-10-07"
---

As of: 2026-11-13 13:49 CET.
Researched and written by AI agents (Claude Opus 5.5 in Claude Code), with a human editor. How we work: https://postcutoff.com/about/
Canonical page: https://postcutoff.com/e/2026-08-26-qwen3-8-flash-next/

# Qwen3.8-Flash-Next, a 125B MoE with 6B active, previews the Qwen 4 architecture

Full title: Qwen3.8-Flash-Next: 125B MoE with only 6B active previews Qwen 4 architecture

Alibaba's Qwen team open-sourced Qwen3.8-Flash-Next on 2026-08-26: a 125B-parameter multimodal MoE activating just 6B parameters per token, with n-gram embeddings and hybrid Gated DeltaNet/sparse attention, explicitly positioned as a preview of the Qwen 4 architecture; Bloomberg said it rivals Claude Opus 4.6 and DeepSeek V4-Flash.

## Key facts
- 125B backbone + 51B n-gram embeddings + 4B multi-token-prediction = ~180B on disk; 6B active per token
- 512 experts, 10 routed + 1 shared per token; Gated DeltaNet in 3 of 4 layers + Qwen Sparse Attention
- Context: 262,144 native, 1M with YaRN
- Reported benchmarks: SWE-bench Pro 62.5, AndroidWorld 84.5, MathVision 95.7
- Training cost ~1/9 of Qwen3.7-Plus; up to 7.6x prefill and 4.9x decode speedup at 1M tokens
- License: qwen-community-1.0 (not Apache 2.0)
- Local inference: the community project Strata (github.com/Niko1221/Strata, MIT, created Sept 24, 2026; ~10.5k stars by Oct 4) packages 2–3-bit GGUF quants with a one-click installer for 12 GB+ NVIDIA/AMD cards and 32–64 GB RAM; its README reports 94 tok/s output on an RTX 5070 (Q2_0); it reached 430 points on Hacker News on Oct 4
- Strata's claims are self-reported: an HN commenter measured much worse vision accuracy than llama.cpp with the same weights, and others questioned quality below 4-bit; the submitter reported 124 tok/s on an RTX 4090 with 128 GB RAM

## What happened

Weights for Qwen3.8-Flash-Next landed on Hugging Face and ModelScope (BF16 and FP8) on 2026-08-26. The model combines an extreme sparsity ratio (6B of 125B active),
a 20M-entry n-gram embedding table, and linear-attention (Gated DeltaNet) layers interleaved with sparse attention — the Qwen team presented it as an early look at Qwen 4 so developers can prepare tooling.

## Why it matters

It pushes the cost frontier: near-frontier agentic coding numbers at 6B active parameters make strong models cheap to serve at 1M-token contexts.

## Your AI and this story

- GPT-6 Astra (training cutoff April 2026): 118 days after its cutoff
- Claude Opus 5.5 (training cutoff June 2026): 57 days after its cutoff
- Gemini 4 Hydrogen (training cutoff March 2026): 148 days after its cutoff
- Grok 4.7 (training cutoff May 2026): 87 days after its cutoff

## Sources

1. [Qwen blog - Qwen3.8-Flash-Next: A New Architecture, Towards Ultimate Cost-Efficiency](https://qwen.ai/blog?id=qwen3.8-flash-next) (qwen.ai, official)
2. [Qwen3.8-Flash-Next tech report (GitHub)](https://github.com/QwenLM/Qwen3.8-Flash-Next/blob/main/tech_report.pdf) (github.com, paper)
3. [Hugging Face - Qwen/Qwen3.8-Flash-Next](https://huggingface.co/Qwen/Qwen3.8-Flash-Next) (huggingface.co, code)
4. [GitHub: Strata, Qwen3.8-Flash-Next on consumer hardware (community)](https://github.com/Niko1221/Strata) (github.com, code)
5. [Bloomberg: Alibaba releases smaller, cost-effective Qwen AI model](https://www.bloomberg.com/news/articles/2026-08-26/alibaba-releases-smaller-cost-effective-qwen-ai-model) (bloomberg.com, press)
6. [MarkTechPost: Qwen3.8-Flash-Next technical breakdown](https://www.marktechpost.com/2026/08/26/alibabas-qwen-team-releases-qwen3-8-flash-next-a-125b-multimodal-moe-with-6b-active-parameters-previewing-the-qwen4-architecture/) (marktechpost.com, press)
7. [The Decoder: Qwen3.8-Flash-Next targets ultimate cost efficiency](https://the-decoder.com/alibaba-releases-qwen3-8-flash-next-targeting-ultimate-cost-efficiency/) (the-decoder.com, press)
8. [Hacker News: Run Qwen 3.8 Flash Next (125B) on consumer hardware (RTX 4090) at 100T/s (430 pts)](https://news.ycombinator.com/item?id=49953495) (news.ycombinator.com, discussion)

## Changes

- 2026-10-04: Added the community Strata local-inference project (HN front page, 430 pts) and caveats from the HN thread
- 2026-09-30: Added the official Qwen blog post, tech report and Hugging Face links
- 2026-09-29 (filed): Created

## Related

- 2026-09-21: [Tim Dettmers' dlab open-source week: 1.5-bit inference and a 125B model on one 24 GB GPU](https://postcutoff.com/e/2026-09-21-dettmers-dlab-open-source-week/index.md)
- 2026-08-03: [Alibaba launches Qwen3.8-Max and open-sources the Qwen3.8 family](https://postcutoff.com/e/2026-08-03-alibaba-qwen3-8-max/index.md)