Traders view the LiveBench Mathematics leaderboard at end of September 2026 as highly uncertain, with market-implied odds clustered near 50% across OpenAI, Anthropic, Google, Meta, DeepSeek, Moonshot and more than a dozen other labs. No single model holds a durable edge, reflecting rapid iteration cycles where gains in chain-of-thought reasoning, test-time compute scaling and specialized math fine-tuning can quickly reorder rankings on this contamination-resistant benchmark. Key swing factors include imminent model releases expected before September, developer conference announcements, and any new LiveBench problems that expose weaknesses in current frontier systems. Competitive dynamics hinge on which lab best combines scale, data quality and architectural innovations to push mathematical reasoning benchmarks higher in the coming weeks.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · DiperbaruiMeta 50%
Google 50%
Alibaba 50%
Moonshot 50%
BARU
BARU
Sep 30, 2026
Meta
50%
50%
Alibaba
50%
Moonshot
50%
OpenAI
50%
Baidu
50%
Z.ai
50%
Xiaomi
50%
SpaceXAI
50%
DeepSeek
50%
Amazon
50%
ByteDance
50%
Nvidia
50%
Thinky
50%
MiniMax
50%
Mistral
50%
Meituan
50%
Tencent
50%
StepFun
50%
Microsoft
50%
Anthropic
49%
Meta 50%
Google 50%
Alibaba 50%
Moonshot 50%
BARU
BARU
Sep 30, 2026
Meta
$0 Vol.
50%
$0 Vol.
50%
Alibaba
$0 Vol.
50%
Moonshot
$0 Vol.
50%
OpenAI
$0 Vol.
50%
Baidu
$0 Vol.
50%
Z.ai
$0 Vol.
50%
Xiaomi
$0 Vol.
50%
SpaceXAI
$0 Vol.
50%
DeepSeek
$0 Vol.
50%
Amazon
$0 Vol.
50%
ByteDance
$0 Vol.
50%
Nvidia
$0 Vol.
50%
Thinky
$0 Vol.
50%
MiniMax
$0 Vol.
50%
Mistral
$0 Vol.
50%
Meituan
$0 Vol.
50%
Tencent
$0 Vol.
50%
StepFun
$0 Vol.
50%
Microsoft
$0 Vol.
50%
Anthropic
$0 Vol.
49%
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 September 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.
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.”Traders view the LiveBench Mathematics leaderboard at end of September 2026 as highly uncertain, with market-implied odds clustered near 50% across OpenAI, Anthropic, Google, Meta, DeepSeek, Moonshot and more than a dozen other labs. No single model holds a durable edge, reflecting rapid iteration cycles where gains in chain-of-thought reasoning, test-time compute scaling and specialized math fine-tuning can quickly reorder rankings on this contamination-resistant benchmark. Key swing factors include imminent model releases expected before September, developer conference announcements, and any new LiveBench problems that expose weaknesses in current frontier systems. Competitive dynamics hinge on which lab best combines scale, data quality and architectural innovations to push mathematical reasoning benchmarks higher in the coming weeks.
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 September 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.
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.”
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.”
Pasar Dibuka: Jul 29, 2026, 6:14 PM ET
Volume
$0Tanggal Berakhir
Sep 30, 2026Pasar Dibuka
Jul 29, 2026, 6:14 PM ETSumber Resolusi
https://livebench.ai/#/?cats=MathematicsResolver
0x69c47De9D...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 September 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.
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.”Traders view the LiveBench Mathematics leaderboard at end of September 2026 as highly uncertain, with market-implied odds clustered near 50% across OpenAI, Anthropic, Google, Meta, DeepSeek, Moonshot and more than a dozen other labs. No single model holds a durable edge, reflecting rapid iteration cycles where gains in chain-of-thought reasoning, test-time compute scaling and specialized math fine-tuning can quickly reorder rankings on this contamination-resistant benchmark. Key swing factors include imminent model releases expected before September, developer conference announcements, and any new LiveBench problems that expose weaknesses in current frontier systems. Competitive dynamics hinge on which lab best combines scale, data quality and architectural innovations to push mathematical reasoning benchmarks higher in the coming weeks.
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 September 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.
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.”
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.”
Volume
$0Tanggal Berakhir
Sep 30, 2026Pasar Dibuka
Jul 29, 2026, 6:14 PM ETSumber Resolusi
https://livebench.ai/#/?cats=MathematicsResolver
0x69c47De9D...Traders view the LiveBench Mathematics leaderboard at end of September 2026 as highly uncertain, with market-implied odds clustered near 50% across OpenAI, Anthropic, Google, Meta, DeepSeek, Moonshot and more than a dozen other labs. No single model holds a durable edge, reflecting rapid iteration cycles where gains in chain-of-thought reasoning, test-time compute scaling and specialized math fine-tuning can quickly reorder rankings on this contamination-resistant benchmark. Key swing factors include imminent model releases expected before September, developer conference announcements, and any new LiveBench problems that expose weaknesses in current frontier systems. Competitive dynamics hinge on which lab best combines scale, data quality and architectural innovations to push mathematical reasoning benchmarks higher in the coming weeks.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · Diperbarui
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