In the race for the highest LiveBench overall score by end of October, trader sentiment reflects intense competition among frontier AI labs, with no single company holding a decisive edge. Multiple developers are iterating rapidly on large language models through advances in reasoning, coding, and multimodal tasks that define the benchmark. Differentiating factors include training data quality, architectural efficiency, and post-training alignment techniques, while historical release cycles show how quickly rankings can shift. Key upcoming catalysts such as new model drops or capability demonstrations over the next ten weeks could break the deadlock, highlighting the wisdom of crowds in pricing this uncertain outcome.
Eksperimental na AI-generated summary na nire-reference ang Polymarket data. Hindi ito trading advice at wala itong papel sa kung paano nire-resolve ang market na ito. · Na-updateWhich company has the best AI model on LiveBench (Overall) end of October?
Google 32%
Meta 30%
Thinky 25%
Baidu 25%

25%

Meta
25%

Thinky
14%

Baidu
20%

Z.ai
16%

OpenAI
23%

Microsoft
23%

Alibaba
22%

Mistral
24%

MiniMax
13%

Meituan
19%

Amazon
18%

DeepSeek
15%

StepFun
14%

ByteDance
15%

Moonshot
23%

Nvidia
18%

Xiaomi
19%

Anthropic
15%

Tencent
24%

SpaceXAI
33%
Google 32%
Meta 30%
Thinky 25%
Baidu 25%

25%

Meta
25%

Thinky
14%

Baidu
20%

Z.ai
16%

OpenAI
23%

Microsoft
23%

Alibaba
22%

Mistral
24%

MiniMax
13%

Meituan
19%

Amazon
18%

DeepSeek
15%

StepFun
14%

ByteDance
15%

Moonshot
23%

Nvidia
18%

Xiaomi
19%

Anthropic
15%

Tencent
24%

SpaceXAI
33%
Results from the “Overall” column of the leaderboard at https://livebench.ai/, with the latest available LiveBench release selected and the category set to “All,” 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.”
Binuksan ang Market: Aug 12, 2026, 8:04 PM ET
Resolver
0x69c47De9D...Results from the “Overall” column of the leaderboard at https://livebench.ai/, with the latest available LiveBench release selected and the category set to “All,” 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...In the race for the highest LiveBench overall score by end of October, trader sentiment reflects intense competition among frontier AI labs, with no single company holding a decisive edge. Multiple developers are iterating rapidly on large language models through advances in reasoning, coding, and multimodal tasks that define the benchmark. Differentiating factors include training data quality, architectural efficiency, and post-training alignment techniques, while historical release cycles show how quickly rankings can shift. Key upcoming catalysts such as new model drops or capability demonstrations over the next ten weeks could break the deadlock, highlighting the wisdom of crowds in pricing this uncertain outcome.
Eksperimental na AI-generated summary na nire-reference ang Polymarket data. Hindi ito trading advice at wala itong papel sa kung paano nire-resolve ang market na ito. · Na-update
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