Polymarket prediction market· Same prices, rules and result
OPENResearch 3h ago
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−0.5 pts 24hAI analysts 4% (7)Top traders 0 Yes · 2 NoNews 1 todayOpening price · no trades yet
Company third by Lab Rank on arena.ai Text Arena Overall with style control ON (Adjustments: Style Control), Labs view, checked Oct 31, 2026 12:00 PM ET. AutoEval-marked models are ignored; an ambiguous Lab Rank falls back to each lab's best model in the Models view, then unrounded score, then alphabetical order.
Arena's dataset (text, style control, overall) orders labs by best model: Google gemini-4-argon-high 1524.77, Meta muse-wonder-max 1512.67, Anthropic claude-opus-5.5-high 1508.08, Moonshot 1488.10, OpenAI 1484.86, Alibaba qwen3.8-max 1482.20.
huggingface.coMeta released Muse Wonder and Muse Wonder Full, its first frontier models; Muse Wonder is offered through the Meta Model API.
techcrunch.comAt its Apsara Conference Alibaba said Qwen 4 is "currently in training", giving no release date.
rits.shanghai.nyu.eduAlibaba has held third under style control before: qwen3.8-max was the third lab on Aug 12 at 1490.66. Alibaba says Qwen 4 is in training, and new flagships can enter high, as Google's gemini-4-argon-high entered at first place in the Sep 30 snapshot.
On Oct 13 qwen3.8-max scored 1482.20, about 26 points below third-placed Anthropic (1508.08) and also behind Moonshot (1488.10) and OpenAI (1484.86). Its score fell from 1490.66 on Aug 12 as votes accumulated. No Qwen 4 release date has been announced.
What to watch next Arena leaderboard updates before Oct 31 noon ET; any new Qwen model (Qwen 4 was in training on Sep 22) reaching the board without an AutoEval label; whether Meta's low-vote muse-wonder-max score holds.
Company third by Lab Rank on arena.ai Text Arena Overall with style control ON (Adjustments: Style Control), Labs view, checked Oct 31, 2026 12:00 PM ET. AutoEval-marked models are ignored; an ambiguous Lab Rank falls back to each lab's best model in the Models view, then unrounded score, then alphabetical order. All labs count, not only Chinese ones. Arena's public dataset gives per-model scores, not the Lab Rank column or AutoEval labels.
Arena launched AutoEval, which gives new models a preliminary Arena Score before enough people have voted; this market ignores AutoEval-marked models.
runtimewire.comResearch, not advice.
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