Google maintains overwhelming market consensus as the second-best Text Arena Math AI lab at end of August because Anthropic’s Claude family (including claude-opus-5-max and claude-fable-5) has locked in the top individual model positions on arena.ai and lmarena.ai math leaderboards through sustained high scores on competition-style problems and human preference votes. Google’s Gemini 3.x series, especially flash-high variants, consistently fills the next tier of top-10 placements, producing the strongest lab-level aggregate behind Anthropic with no other provider showing comparable breadth or stability in recent updates. This positioning reflects verified leaderboard data through late August rather than speculation. A late surge in votes for Meta, Alibaba, or OpenAI models, or an unexpected new release shifting math-specific rankings before final resolution, remains the main realistic scenario that could alter the outcome.
Экспериментальная сводка, созданная ИИ на основе данных Polymarket. Это не является торговой рекомендацией и не влияет на то, как разрешается этот рынок. · ОбновленоВторая лучшая математическая ИИ-лаборатория текстовой арены в конце августа?
Google 100.0%
Anthropic <1%
SpaceXAI <1%
Alibaba <1%
$88,493 Объем
$88,493 Объем

Anthropic
Нет

Да

SpaceXAI
Нет

Alibaba
Нет

OpenAI
Нет

Baidu
Нет

Z.ai
Нет

Xiaomi
Нет

Moonshot
Нет

Meta
Нет

Nvidia
Нет

DeepSeek
Нет

MiniMax
Нет

Meituan
Нет

Amazon
Нет

ByteDance
Нет

Mistral
Нет

Tencent
Нет

StepFun
Нет

Microsoft
Нет
Google 100.0%
Anthropic <1%
SpaceXAI <1%
Alibaba <1%
$88,493 Объем
$88,493 Объем

Anthropic
Нет

Да

SpaceXAI
Нет

Alibaba
Нет

OpenAI
Нет

Baidu
Нет

Z.ai
Нет

Xiaomi
Нет

Moonshot
Нет

Meta
Нет

Nvidia
Нет

DeepSeek
Нет

MiniMax
Нет

Meituan
Нет

Amazon
Нет

ByteDance
Нет

Mistral
Нет

Tencent
Нет

StepFun
Нет

Microsoft
Нет
Results from the "Lab Rank" column under the "Text Arena | Math" Leaderboard tab at https://arena.ai/leaderboard/text/math-no-style-control?rankBy=labs with style control off (Adjustments: None) and filtered for "Labs" will be used to resolve this market.
AI companies will be ordered primarily by their Lab Rank at the market’s check time. If the results based on the lab ranking are ambiguous or unavailable, the relevant AI companies will be ordered according to their highest-ranking AI model in the leaderboard’s “Models” view. If two or more models are tied on rank, they will be ordered by their Arena score, including any underlying, unrounded, granular values reflected in the data below the leaderboard. If a tie still remains, alphabetical order of AI lab/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 arena score, “Google” would be ranked ahead of “SpaceXAI”). This market will resolve based on the company that occupies second place under this ranking.
The resolution source for this market is the arena.ai Text Arena (Math). If this resolution source is unavailable at check time, this market will remain open until the leaderboard comes back online and will resolve based on the first check after it becomes available. If it becomes permanently unavailable, this market will resolve to "Other".
Открытие рынка: Jul 20, 2026, 8:43 PM ET
Источник определения исхода
https://arena.ai/leaderboard/text/math-no-style-control?rankBy=labsКто определяет исход
0x69c47De9D...Предложенный исход: Нет
Спор отсутствует
Окончательный исход: Нет
Results from the "Lab Rank" column under the "Text Arena | Math" Leaderboard tab at https://arena.ai/leaderboard/text/math-no-style-control?rankBy=labs with style control off (Adjustments: None) and filtered for "Labs" will be used to resolve this market.
AI companies will be ordered primarily by their Lab Rank at the market’s check time. If the results based on the lab ranking are ambiguous or unavailable, the relevant AI companies will be ordered according to their highest-ranking AI model in the leaderboard’s “Models” view. If two or more models are tied on rank, they will be ordered by their Arena score, including any underlying, unrounded, granular values reflected in the data below the leaderboard. If a tie still remains, alphabetical order of AI lab/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 arena score, “Google” would be ranked ahead of “SpaceXAI”). This market will resolve based on the company that occupies second place under this ranking.
The resolution source for this market is the arena.ai Text Arena (Math). If this resolution source is unavailable at check time, this market will remain open until the leaderboard comes back online and will resolve based on the first check after it becomes available. If it becomes permanently unavailable, this market will resolve to "Other".
Источник определения исхода
https://arena.ai/leaderboard/text/math-no-style-control?rankBy=labsКто определяет исход
0x69c47De9D...Предложенный исход: Нет
Спор отсутствует
Окончательный исход: Нет
Google maintains overwhelming market consensus as the second-best Text Arena Math AI lab at end of August because Anthropic’s Claude family (including claude-opus-5-max and claude-fable-5) has locked in the top individual model positions on arena.ai and lmarena.ai math leaderboards through sustained high scores on competition-style problems and human preference votes. Google’s Gemini 3.x series, especially flash-high variants, consistently fills the next tier of top-10 placements, producing the strongest lab-level aggregate behind Anthropic with no other provider showing comparable breadth or stability in recent updates. This positioning reflects verified leaderboard data through late August rather than speculation. A late surge in votes for Meta, Alibaba, or OpenAI models, or an unexpected new release shifting math-specific rankings before final resolution, remains the main realistic scenario that could alter the outcome.
Экспериментальная сводка, созданная ИИ на основе данных Polymarket. Это не является торговой рекомендацией и не влияет на то, как разрешается этот рынок. · Обновлено
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