Alibaba

Qwen3.8 Flash Next

Open-weight experimental preview of the Qwen4 architecture: hybrid-attention MoE (125B total, 6B active) with vision encoder for coding, agent tasks, and image and video understanding

alibaba/qwen3.8-flash-next

Context

262.1K

Output

131.1K

Released

2026-08-27

Knowledge cutoff

—

Types

InputTextImageVideo
OutputText

Reasoning

Supported

Tool use

Supported

Structured output

Supported

Attachments

Supported

Open weights

Supported

Provider pricing

No providers currently list this model.

Benchmarks

  • DeepSWE

    58.7 · score

  • SWE-Bench Pro

    62.5 · score

  • SWE-Bench Multilingual

    81 · score

  • NL2Repo

    48.1 · score

  • CoWorkBench

    73.9 · score

  • JobBench

    55.7 · score

  • Agents' Last Exam

    24.3 · pass@1

  • Agents' Last Exam

    51.2 · score

  • Toolathlon-Verified

    73.5 · pass@1

  • IFBench

    81.3 · score

  • GPQA Diamond

    91.7 · score

  • Humanity's Last Exam

    35.9 · score

  • LiveCodeBench

    91.9 · score

  • ClawEval-MM

    64.4 · pass@3

  • ClawEval-MM

    60.4 · average score

  • RecreationBench

    49.9 · score

  • AndroidWorld

    84.5 · score

  • OSWorld

    19.4 · binary completion rate

  • OSWorld

    52.3 · partial score

  • Vision2Web

    64 · score

  • ERQA

    72.3 · score

  • LVBench

    76.6 · score

  • RealWorldQA

    88.5 · score

  • MathVision

    90.6 · score

  • MathVision

    95.7 · score

  • CharXiv Reasoning

    84.6 · score

  • CharXiv Reasoning

    90.6 · score

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