Probabilité implicite actuelle
Anthropic 47.5%En tête parmi 21 optionsAjusté de la marge : les cotes brutes dépassaient 100 % au total et ont été normalisées.
Anthropic 47.5%Qualité du marché
51 / 100
Qualité moyenneVolume 24h
3,9 k €
Liquidité
9 k €
Liquidité moyenneÉcart
5.0 pt
Spread modéréCommentaires
0
Données du marché
Mis à jour il y a 6 minutes
1 oct. 26, 00:11 UTC1 déc. 26, 04:59 UTC
Tendances
Conditions de la plateforme
Source : Polymarket
Ces conditions sont indicatives ; les opérations simulées de CoinRithm suivent leurs propres règles.
- Ordre minimum (parts):
- 5
- Pas de cotation:
- 1 points de pourcentage
- Frais:
- Oui
Marchés Associés
Questions liées pour le contexte, et non une comparaison de contrats équivalents.
Which company has the best AI model on LiveBench (Mathematics) end of October?
PolymarketWhich company has the best AI model on LiveBench (Overall) end of November?
PolymarketWhich company has the best AI model on LiveBench (Overall) end of October?
PolymarketWhich company has the best AI model on LiveBench (Coding) end of October?
PolymarketWhich company will have the best AI model at the end of 2026?
FutuurWhich AI company will have the best coding model at the end of 2026?
KalshiRègles
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 November 30, 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.