Alibaba's August 26, 2026 release of Qwen3.8-Flash and its open-weight Qwen3.8-Flash-Next variant has anchored trader sentiment around the next 3.9+ Flash model. The multimodal MoE architecture, with only 6B active parameters per token plus N-gram embeddings, delivered strong coding and agent benchmarks at roughly one-ninth the training cost of prior models while previewing the hybrid attention design slated for Qwen4. This rapid iteration, following Qwen3.8-Max earlier in the month, reflects Alibaba's aggressive cadence amid competition from DeepSeek and Moonshot. Traders are watching for official Qwen4 or 3.9 announcements, API availability timelines, and any shifts in open-weight policy that could accelerate or delay resolution.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日10月31日
26%
12月31日
90%
$461 Vol.
10月31日
26%
12月31日
90%
A qualifying model must have a name or model identifier that includes "Qwen" and "Flash," be the flagship model of Alibaba's core Qwen Flash tier, and be designated as version 3.9 or higher, regardless of capitalization or surrounding prefixes, suffixes, dates, or descriptors. For example, a version 3.9 or higher named in the same manner as Qwen3.7-Flash or Qwen3.8-Flash would qualify, including a new whole-number generation such as Qwen4-Flash, while models whose name does not include "Flash" or which retain a version designation below 3.9, such as Qwen3.8-Flash, Qwen3.8-Plus, or Qwen3.9-Max, will not qualify. Derivative lines such as VL, Coder, Omni, or other specialized variants, such as qwen3-coder-flash, will not qualify.
A qualifying model must be launched and publicly accessible, including via open beta or open rolling waitlist signups. A closed beta or any form of private access will not suffice. The release must either be clearly defined and publicly announced by Alibaba as accessible to the general public, or otherwise be made publicly accessible and explicitly labeled on the company's official website. Labeling errors, placeholder text, or version names displayed on the website that do not correspond to a model that is actually accessible to the general public will not qualify.
The primary resolution source for this market will be official information from Alibaba, with additional verification from a consensus of credible reporting.
マーケット開始日: Aug 31, 2026, 7:25 PM ET
リゾルバー
0x65070BE91...A qualifying model must have a name or model identifier that includes "Qwen" and "Flash," be the flagship model of Alibaba's core Qwen Flash tier, and be designated as version 3.9 or higher, regardless of capitalization or surrounding prefixes, suffixes, dates, or descriptors. For example, a version 3.9 or higher named in the same manner as Qwen3.7-Flash or Qwen3.8-Flash would qualify, including a new whole-number generation such as Qwen4-Flash, while models whose name does not include "Flash" or which retain a version designation below 3.9, such as Qwen3.8-Flash, Qwen3.8-Plus, or Qwen3.9-Max, will not qualify. Derivative lines such as VL, Coder, Omni, or other specialized variants, such as qwen3-coder-flash, will not qualify.
A qualifying model must be launched and publicly accessible, including via open beta or open rolling waitlist signups. A closed beta or any form of private access will not suffice. The release must either be clearly defined and publicly announced by Alibaba as accessible to the general public, or otherwise be made publicly accessible and explicitly labeled on the company's official website. Labeling errors, placeholder text, or version names displayed on the website that do not correspond to a model that is actually accessible to the general public will not qualify.
The primary resolution source for this market will be official information from Alibaba, with additional verification from a consensus of credible reporting.
リゾルバー
0x65070BE91...Alibaba's August 26, 2026 release of Qwen3.8-Flash and its open-weight Qwen3.8-Flash-Next variant has anchored trader sentiment around the next 3.9+ Flash model. The multimodal MoE architecture, with only 6B active parameters per token plus N-gram embeddings, delivered strong coding and agent benchmarks at roughly one-ninth the training cost of prior models while previewing the hybrid attention design slated for Qwen4. This rapid iteration, following Qwen3.8-Max earlier in the month, reflects Alibaba's aggressive cadence amid competition from DeepSeek and Moonshot. Traders are watching for official Qwen4 or 3.9 announcements, API availability timelines, and any shifts in open-weight policy that could accelerate or delay resolution.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日

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