Market capacity
How hard is it to move this price?
Pool liquidity
100 mana
Bid-ask spread
n/a
automated market maker
24h volume
75 mana
Total volume
219.4 mana
Play money: depth is in mana, so it says nothing about real-money conviction.
As of Nov 1, 2026, 2:25 PM ET, Manifold priced this market at 19.6% (down from 38.2% 24 hours earlier). It had 75 mana traded in the past 24 hours and 100 mana of pool liquidity. probcast.co rates the support behind this price as weak.
Play-money market (mana, not dollars) — thin market where small orders can move the price — today's move came from a small group of accounts.
Source: Manifold price history
Is the move backed by real trading and depth?
The pricing has weak support: moderate trading volume.
Has the market settled at the new probability?
The probability has held near its current level over the past several hours.
Will the rules resolve without ambiguity?
The resolution rules are relatively specific, with a named source and a defined deadline.
Two different questions: how hard the price is to move, and whose trading set it.
How hard is it to move this price?
Pool liquidity
100 mana
Bid-ask spread
n/a
automated market maker
24h volume
75 mana
Total volume
219.4 mana
Play money: depth is in mana, so it says nothing about real-money conviction.
Whose opinion is this price?
Accounts
6
Trades
7
over 123 days
Largest order
55 mana
216.4 mana traded across these 7 trades (last 123 days).
A small group of accounts did most of the trading — neither one whale nor a broad crowd.
From the latest trade tape (most recent 200 prints) — a live activity sample, not a lifetime total.
Resolution criteria This market resolves to YES if, at any point before January 1, 2028, a large language model developed by a Chinese-headquartered organization achieves a strictly higher Elo rating than the highest-rated model developed by a US-headquartered organization on the official LMArena Overall Text Leaderboard. Otherwise, this market resolves to NO.
This summary shows the opening of the venue's official rules. ProbCast has not yet generated an independent plain-English interpretation for this contract — review the full rules before relying on it.
Resolution criteria This market resolves to YES if, at any point before January 1, 2028, a large language model developed by a Chinese-headquartered organization achieves a strictly higher Elo rating than the highest-rated model developed by a US-headquartered organization on the official LMArena Overall Text Leaderboard. Otherwise, this market resolves to NO. Primary Source of Truth: The Overall Text Arena Leaderboard hosted by LMArena (formerly LMSYS Chatbot Arena) at lmarena.ai or its official Hugging Face Space. Corporate Headquarter Classification: Chinese-headquartered developers include, but are not limited to: DeepSeek, Alibaba (Qwen), ByteDance (Doubao), Tencent (Hunyuan), Baidu (Ernie), Zhipu AI (GLM), 01.AI (Yi), and Moonshot AI (Kimi). US-headquartered developers include, but are not limited to: OpenAI, Anthropic, Google, Meta, xAI, and Microsoft. Evidence: Any official, public leaderboard update or verified internet archive snapshot (e.g., Wayback Machine) of the LMArena leaderboard showing a Chinese model outranking all US models by Elo score prior to the cutoff date will suffice for a YES resolution. Fallback Rule: If LMArena becomes defunct, stops updating, or is otherwise unavailable before 2028, the market will resolve using the next most prominent independent benchmarking index (such as Artificial Analysis or the Stanford AI Index Report). If no objective public index is available, the creator will resolve the market based on consensus expert evaluation of top frontier models. Background The competitive gap between US and Chinese frontier artificial intelligence models has narrowed rapidly. Following the late-2024 and 2025 releases of highly efficient models like DeepSeek-R1 and DeepSeek-V3, as well as Alibaba's Qwen series, Chinese open-weights models have repeatedly challenged closed-source US giants like OpenAI, Anthropic, and Google on standard coding, math, and reasoning benchmarks. As of mid-2026, US frontier labs (specifically Anthropic's Claude series and OpenAI's GPT series) continue to hold the absolute top spots on the LMArena leaderboard, with Chinese models like Alibaba's Qwen and DeepSeek's iterations positioned closely within the top tier. This market tracks whether a Chinese-developed model will officially overtake the top US competitor on the industry's premier crowd-sourced evaluation platform before the end of 2027. This description was generated by AI. Review and verify everything here yourself. You can edit, replace, or delete any part of this description, including the resolution criteria. You do not need to trust the AI output.
The probability fell 18.5 percentage points over the last 24 hours (38.2% → 19.7%).
No verified catalyst has been linked to this move yet. ProbCast does not attribute moves to news without evidence connecting the timing of a specific report to the repricing.
The contract must resolve based on what has happened by this date.
Derived from the contract's own mechanics as of Nov 1, 2:36 PM ET. ProbCast does not list scheduled meetings, announcements, or data releases it cannot verify.
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 ±31 pts.
Thin book and/or wide spread. Small orders can move this price disproportionately, so any single print is noisy and easily overread.
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 One big trader.
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.