OpenAI holds a slim edge in trader sentiment for the LiveBench Mathematics category at end of October, reflecting its recent GPT-5.6 Sol and related releases that have posted competitive scores on advanced math and reasoning subtasks. Anthropic trails narrowly as Claude Opus and Fable variants demonstrate strong performance in multi-step problem-solving, though the market views both labs as closely matched amid rapid iteration cycles. Chinese developers like Moonshot (Kimi) and DeepSeek show capable math benchmarks on other leaderboards but face lower implied odds due to limited LiveBench visibility and scaling gaps. The tight spread underscores uncertainty around final October snapshots, where new model updates, fine-tuning for competition problems, or benchmark refreshes could shift the leader. Traders weigh demonstrated capabilities against release timelines and historical volatility in math-specific evaluations.
基於Polymarket數據的AI實驗性摘要。這不是交易建議,也不影響該市場的結算方式。 · 更新於OpenAI 52%
Anthropic 48%
Meta <1%
SpaceXAI <1%

OpenAI
52%

Anthropic
48%

Meta
1%

SpaceXAI
1%

微軟
1%

DeepSeek
1%

Amazon
1%

MiniMax
1%

ByteDance
1%

Thinky
1%

StepFun
1%

1%

Alibaba
1%

Mistral
1%

Moonshot
<1%

Baidu
<1%

Z.ai
<1%

Xiaomi
<1%

Nvidia
<1%

美團
<1%

騰訊
<1%
OpenAI 52%
Anthropic 48%
Meta <1%
SpaceXAI <1%

OpenAI
52%

Anthropic
48%

Meta
1%

SpaceXAI
1%

微軟
1%

DeepSeek
1%

Amazon
1%

MiniMax
1%

ByteDance
1%

Thinky
1%

StepFun
1%

1%

Alibaba
1%

Mistral
1%

Moonshot
<1%

Baidu
<1%

Z.ai
<1%

Xiaomi
<1%

Nvidia
<1%

美團
<1%

騰訊
<1%
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.
The resolution source for this market is the LiveBench leaderboard. 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.”
市場開放時間: Aug 12, 2026, 8:04 PM ET
Resolver
0x69c47De9D...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.
The resolution source for this market is the LiveBench leaderboard. 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.”
Resolver
0x69c47De9D...OpenAI holds a slim edge in trader sentiment for the LiveBench Mathematics category at end of October, reflecting its recent GPT-5.6 Sol and related releases that have posted competitive scores on advanced math and reasoning subtasks. Anthropic trails narrowly as Claude Opus and Fable variants demonstrate strong performance in multi-step problem-solving, though the market views both labs as closely matched amid rapid iteration cycles. Chinese developers like Moonshot (Kimi) and DeepSeek show capable math benchmarks on other leaderboards but face lower implied odds due to limited LiveBench visibility and scaling gaps. The tight spread underscores uncertainty around final October snapshots, where new model updates, fine-tuning for competition problems, or benchmark refreshes could shift the leader. Traders weigh demonstrated capabilities against release timelines and historical volatility in math-specific evaluations.
基於Polymarket數據的AI實驗性摘要。這不是交易建議,也不影響該市場的結算方式。 · 更新於
警惕外部連結哦。
警惕外部連結哦。
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