Mittelwert des gewählten Orderbuchs
Anthropic · —
Gewähltes Orderbuch wird geladen…
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Gespeicherter Referenzwert
Anthropic 88.1%Führend unter 21 Optionen
Anthropic 88.1%Marktqualitat
70 / 100
Mittlere Qualität24h-Volumen
310,4 €
Liquidität
28.508,9 €
Hohe LiquiditätOpen Interest
5061,4 $
Geld / Brief
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AnthropicSpread
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Kommentare
0
7d-Änderung
+9.5 pts
Marktdaten
Aktualisiert vor 15 Minuten
13. Aug. 26, 00:05 UTC31. Okt. 26, 16:00 UTC
Chart und Änderungen zeigen gespeicherte historische Wahrscheinlichkeiten, nicht das gewählte aktuelle Orderbuch.
Trends
Gewählte Zeile: Orderbuch-Mittelwert. Andere Zeilen: gespeicherte, ggf. normalisierte Referenzwerte; 24h-Änderungen basieren auf gespeicherter Historie.
Handelsplatzbedingungen
Quelle: Polymarket
Diese Angaben dienen der Information; für den simulierten Handel bei CoinRithm gelten eigene Regeln.
- Mindestorder (Anteile):
- 5
- Preisschritt:
- 1 Prozentpunkte
- Gebühren:
- Ja
Größte Inhaber
Größte Inhaber werden geladen
Markttiefe · Anthropic
Gewähltes Orderbuch wird geladen…
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Verwandte Märkte
Verwandte Fragen als Kontext, kein Vergleich gleichwertiger Kontrakte.
Which company has the best AI model on LiveBench (Mathematics) end of November?
PolymarketWhich company has the best AI model on LiveBench (Coding) end of October?
PolymarketWhich company has the best AI model on LiveBench (Coding) end of November?
PolymarketWhich company has the best AI model on LiveBench (Overall) end of October?
PolymarketWhich company will have the best AI model at the end of 2026?
FutuurWill the top model on LiveBench be Chinese on Jan 1st, 2028?
Manifold MarketsRegeln
This market will resolve according to the company which owns the model with the highest Mathematics score on LiveBench.ai when the leaderboard is checked on October 31, 2026, at 12:00 PM ET.
- Results from the “Mathematics” column of the leaderboard at https://livebench.ai/#/?cats=Mathematics, with the latest available LiveBench release selected and the category set to “Mathematics,” will be used to resolve this market.
- Models will be ranked according to the specified score, with higher scores ranked ahead of lower scores.
- If two or more models have exactly the same score as displayed on the leaderboard, the model with the lower listed "cost per successful task" will be ranked ahead.
- If a tie still remains, alphabetical order of company names as listed in this market group will be used as a final tiebreaker (e.g., if the two models are tied by exact score and cost per successful task, “Google” would be ranked ahead of “SpaceXAI”).
- This market will resolve based on the company that occupies first place under this ranking.
