Anthropic holds a narrow edge in trader sentiment for the leading Text Arena Math AI model by late September 2026, reflecting its Claude Mythos and Opus series topping recent math benchmarks like MATH, AIME, and GSM8K alongside strong arena Elo scores. The tight clustering around 50% for several labs stems from converging frontier performance, where incremental gains in reasoning chains, tool use, and competition-level problem solving can shift standings quickly. OpenAI’s GPT-5 variants and Google’s Gemini releases remain competitive on applied math tasks, while Chinese labs and others trail on independent evaluations. With multiple model updates expected before resolution, traders weigh demonstrated benchmark leadership against the risk of sudden capability jumps from any contender.
基于Polymarket数据的AI实验性摘要。这不是交易建议,也不影响该市场的结算方式。 · 更新于SpaceXAI 27%
OpenAI 27%
Anthropic 26%
Moonshot 24%

SpaceXAI
27%

OpenAI
27%

Anthropic
38%

Moonshot
24%

DeepSeek
24%

21%

Alibaba
20%

Nvidia
19%

Baidu
19%

Xiaomi
17%

Amazon
17%

ByteDance
17%

StepFun
9%

Meta
9%

Mistral
5%

Tencent
5%

Meituan
5%

Microsoft
4%

Z.ai
16%

MiniMax
1%
SpaceXAI 27%
OpenAI 27%
Anthropic 26%
Moonshot 24%

SpaceXAI
27%

OpenAI
27%

Anthropic
38%

Moonshot
24%

DeepSeek
24%

21%

Alibaba
20%

Nvidia
19%

Baidu
19%

Xiaomi
17%

Amazon
17%

ByteDance
17%

StepFun
9%

Meta
9%

Mistral
5%

Tencent
5%

Meituan
5%

Microsoft
4%

Z.ai
16%

MiniMax
1%
Results from the "Rank" column under the "Text Arena | Math" Leaderboard tab at https://arena.ai/leaderboard/text/math-no-style-control with style control off (Adjustments: None) and filtered for "Models" will be used to resolve this market.
Models will be ordered primarily by their leaderboard rank at the market’s check time. 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 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 first 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".
市场开放时间: Jul 20, 2026, 7:29 PM ET
Results from the "Rank" column under the "Text Arena | Math" Leaderboard tab at https://arena.ai/leaderboard/text/math-no-style-control with style control off (Adjustments: None) and filtered for "Models" will be used to resolve this market.
Models will be ordered primarily by their leaderboard rank at the market’s check time. 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 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 first 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".
Anthropic holds a narrow edge in trader sentiment for the leading Text Arena Math AI model by late September 2026, reflecting its Claude Mythos and Opus series topping recent math benchmarks like MATH, AIME, and GSM8K alongside strong arena Elo scores. The tight clustering around 50% for several labs stems from converging frontier performance, where incremental gains in reasoning chains, tool use, and competition-level problem solving can shift standings quickly. OpenAI’s GPT-5 variants and Google’s Gemini releases remain competitive on applied math tasks, while Chinese labs and others trail on independent evaluations. With multiple model updates expected before resolution, traders weigh demonstrated benchmark leadership against the risk of sudden capability jumps from any contender.
基于Polymarket数据的AI实验性摘要。这不是交易建议,也不影响该市场的结算方式。 · 更新于
警惕外部链接哦。
警惕外部链接哦。
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