# Qwen3.8-Omni-Flash ![Organization](https://img.shields.io/badge/Org-Alibaba-FF6A00) ![License](https://img.shields.io/badge/License-Proprietary-d29922) ![Modality](https://img.shields.io/badge/Modality-Multimodal-8957e5) ![Released](https://img.shields.io/badge/Released-Sep%202026-555) > **Quick answer:** Qwen3.8-Omni-Flash is a multimodal model in Alibaba's Qwen3.8 family, released via arXiv paper and QwenCloud API in September 2026. Unlike many Qwen releases, it is offered as a proprietary, API-only model rather than open weights — consistent with Alibaba's closed QwenCloud tier (alongside the similarly API-only Qwen3.8-Max). It scores 91.0% on GPQA Diamond, 92.6% on LiveCodeBench v6, and 80.5% on SWE-bench Multilingual. ## At a Glance **Where it's strong:** High coding and instruction-following scores — LiveCodeBench v6 (92.6%), IFBench (81.5%), SWE-bench Multilingual (80.5%). **Where it's weaker:** Humanity's Last Exam (36.5%) trails frontier flagship models; NL2Repo-Bench (48.9%) suggests more limited repository-scale code generation than top coding specialists. **Licensing note:** Alibaba's own paper/documentation describes some underlying components as open-source research artifacts, but Qwen3.8-Omni-Flash itself is distributed only via a closed QwenCloud API — treat the license as proprietary/API-only unless Alibaba publishes downloadable weights. ## What Qwen3.8-Omni-Flash Is Qwen3.8-Omni-Flash is a multimodal model in Alibaba's Qwen3.8 generation, documented via an arXiv technical paper and made available through Alibaba's QwenCloud API rather than as downloadable open weights. This marks a departure from the open-weight releases Qwen is best known for — Qwen3.8-Omni-Flash instead sits alongside Qwen3.8-Max as a closed, API-only offering, reflecting Alibaba's dual-track strategy of open-weight models for the research community and proprietary, higher-margin API tiers for production use. The model's benchmark profile emphasizes coding and structured instruction-following: strong results on LiveCodeBench v6, SWE-bench (both Pro and Multilingual variants), and IFBench, alongside solid general reasoning (GPQA Diamond 91.0%) but a more modest result on the extreme-difficulty Humanity's Last Exam (36.5%), consistent with a model tuned for practical coding/agentic workloads rather than maximal frontier reasoning. ## Specifications | Field | Value | |---|---| | Organization | Alibaba (Qwen team) | | License | Proprietary (API only — closed QwenCloud tier) | | Modality | Multimodal | | Release date | 2026-09 | | Availability | QwenCloud API | ## Public Benchmark Scores | Benchmark | Score | Source | Date | |---|---|---|---| | [GPQA Diamond](/benchmarks/rein-et-al/gpqa-diamond) | 91.0% | Alibaba Qwen3.8-Omni-Flash technical paper (arXiv) | 2026-09 | | [Humanity's Last Exam](/benchmarks/center-for-ai-safety-scale-ai/humanitys-last-exam) | 36.5% | Alibaba Qwen3.8-Omni-Flash technical paper (arXiv) | 2026-09 | | [SWE-bench Pro](/benchmarks/swe-bench-pro) | 63.3% | Alibaba Qwen3.8-Omni-Flash technical paper (arXiv) | 2026-09 | | [SWE-bench Multilingual](/benchmarks/swe-bench-multilingual) | 80.5% | Alibaba Qwen3.8-Omni-Flash technical paper (arXiv) | 2026-09 | | [NL2Repo-Bench](/benchmarks/nl2repo) | 48.9% | Alibaba Qwen3.8-Omni-Flash technical paper (arXiv) | 2026-09 | | [IFBench](/benchmarks/ifbench) | 81.5% | Alibaba Qwen3.8-Omni-Flash technical paper (arXiv) | 2026-09 | | [LiveCodeBench v6](/benchmarks/livecodebench-v6) | 92.6% | Alibaba Qwen3.8-Omni-Flash technical paper (arXiv) | 2026-09 | *Scores above are self-reported by Alibaba's Qwen3.8-Omni-Flash technical paper and shown for context; not independent Benchgen measurements. The paper also reports a "DeepSWE 1.1" result and a "CoWorkBench" result; the former is not added here pending confirmation it matches Benchgen's existing DeepSWE benchmark version, and the latter is omitted entirely as Benchgen has no corresponding benchmark page.* ## Frequently Asked Questions

What is Qwen3.8-Omni-Flash?

Qwen3.8-Omni-Flash is a multimodal model in Alibaba's Qwen3.8 family, released via arXiv paper and QwenCloud API in September 2026, offered as a closed, API-only model rather than open weights.

Is Qwen3.8-Omni-Flash open source?

No — unlike many Qwen releases, Qwen3.8-Omni-Flash is distributed only through Alibaba's proprietary QwenCloud API, alongside the similarly closed Qwen3.8-Max tier.

What is Qwen3.8-Omni-Flash best at?

Coding and structured instruction-following: it scores 92.6% on LiveCodeBench v6, 81.5% on IFBench, and 80.5% on SWE-bench Multilingual, per Alibaba's own technical paper.

Qwen3.8-Omni-Flash — Training jobs

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