Qwen/Qwen3.8-Flash-Next

image-text-to-text model by Qwen

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As the frontier of foundation models pushes toward ever-larger parameter counts and ever-longer context windows, the question is no longer just how much we can scale, but how efficiently we can do so. Sustainable progress toward artificial general intelligence (AGI) that benefits everyone demands architectural innovation. Today, we are sharing a concrete step in that direction: Qwen3.8-Flash-Next. This experimental preview of the architecture that will underpin Qwen4 is built around a fundamental rethinking of how the core components of modern large language models (LLMs) interact at scale. The first open-weight release under this architecture is Qwen3.8-Flash-Next, which introduces: For more details, please refer to our blog post Qwen3.8-Flash-Next and the technical report. We are excited to embark on this next chapter with you and welcome your feedback as we build what comes next. Qwen3.8-Flash-NextQwen3.8-27BQwen3.7-PlusDeepSeek-V4-Flash-0731Claude-Opus-4.6 (Max) 125B 27B 397B 284B -- 6B 27B 17B 13B -- 51B -- -- -- --…

Qwen/Qwen3.8-Flash-Next on Hugging Face A short preview, not the full document.

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Inside the original model card — Document outline
  1. Qwen3.8-Flash-Next
  2. Highlights
  3. Model Overview
  4. Benchmark Results
  5. Language
  6. Params
  7. Activated params
  8. N-gram embedding params
  9. Vision Language
  10. Quickstart
  11. Serving Qwen3.8-Flash-Next
  12. API Usage

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Model overview

Qwen/Qwen3.8-Flash-Next is a image-text-to-text model repository published by Qwen on Hugging Face. The source reports the transformers library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
image-text-to-text
Library
transformers
Recent downloads (30 days)
4,162,561
Cumulative likes
6,676
Hugging Face trending score
113
Reported safetensors parameters
179,999,981,459
Architecture
Qwen4ExpForConditionalGeneration
License
other
Access
Not gated by Hugging Face
Created
2026-08-24T08:24:59.000Z
Last modified
2026-08-27T05:03:36.000Z

Compatibility and lineage

Language coverage was not reported.

Base-model lineage was not included.

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Source: Hugging Face Hub. Metadata observed 2026-11-01T06:51:30.840Z. Daily imports are snapshots, not real-time monitoring.

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