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The probability is essentially unchanged over the last 24 hours. No meaningful probability movement was detected over the past 24 hours.
Will any the weights for any new Qwen Model >=100B parameters release before 2027 The current Manifold probability is 99.0%, essentially unchanged over the last 24 hours. ProbCast classifies this as Stable with medium confidence because trading volume and book liquidity are low, so small orders can move the price.
Research signals — these models are still accumulating the history needed for full validation, and they can disagree with the headline read. Model confidence: low · expected error ±16 pts.
Thin book and/or wide spread. Small orders can move this price disproportionately, so any single print is noisy and easily overread.
Will Resolve yes If any new Qwen Resolution criteria This market will resolve to YES if, between June 12, 2026, and December 01, 2027, at 00:00 CET, the official Qwen team (Alibaba Cloud) publicly releases the weights (e.g., on Hugging Face or ModelScope) of any new or previously closed-weight Qwen-family model with a total parameter count of 100 Billion (100B) or greater. Otherwise, this market will resolve to NO. Key Rules & Definitions: "New" vs. "Existing": The model weights must be officially released for the first time after June 12, 2026. Already released open-weight models with $\ge$100B parameters as of June 12, 2026 (including Qwen1.5-110B, Qwen3-235B-A22B, Qwen3.5-122B-A10B, and Qwen3.5-397B-A17B) do not count toward a YES resolution. Closed-to-Open Weights: If an existing closed-weight or API-only model (such as Qwen3.6-Max-Preview or Qwen3.6-Plus) has its weights officially released to the public during the market window, this will resolve the market to YES, provided its total parameter count is verified to be $\ge$100B. Parameter Count: For Mixture-of-Experts (MoE) architectures, the total parameter count (not the active parameter count per token) will be used to determine the threshold. For example, a model with 120B total parameters and 10B active parameters counts as $\ge$100B. Official Releases Only: The release must be an official artifact published by the Qwen team / Alibaba Cloud. Third-party fine-tunes, merges, or community-reconstructed weights do not qualify. Source of Truth: Resolution will be verified via the Official Qwen GitHub, the Qwen Hugging Face Organization, or the official Qwen Blog. Background Alibaba's Qwen team has historically been a major proponent of open-weights models, releasing massive models like the Qwen3.5-397B-A17B MoE and the dense Qwen1.5-110B. However, in early 2026, the team made a notable pivot toward proprietary, closed-weight models with the API-only launch of their flagship Qwen3.6-Max-Preview. While they continue to release open-weights models at smaller sizes—such as the Qwen3.6-27B and Qwen3.6-35B-A3B—the community is highly focused on whether Alibaba will return to open-sourcing its frontier, 100B+ class architectures.
Read with caution —Read the latest price with caution; conditions make it an unreliable summary right now.
Short-term motion of the price line (~1h), distinct from the environment above — not a prediction of the final outcome.
Secondary read: leaning toward Trading normally.
A read-only classification of the market environment — how much weight the current price deserves as a read of consensus. It describes conditions, never a trade.
LOW_LIQUIDITYThin marketDepth of the order book and volume
Mixed support. Interpret with some caution. Main caveat: thin liquidity.
Low resolution risk: clear source, threshold, and deadline leave little room for ambiguity.
How clear the contract wording is — separate from whether the price is trustworthy.
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ProbCast provides prediction-market data and analytics for informational purposes only. Not financial, trading, betting, investment, legal, or tax advice. ProbCast is not a betting platform, exchange, or broker and does not provide buy or sell recommendations. Intended for users 18+; availability of prediction-market activity varies by jurisdiction. Venue data is aggregated from third parties and may be delayed or inaccurate. See our Terms of Use.
Market-implied probabilities can be wrong, illiquid, manipulated, or affected by ambiguous resolution rules.
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