Recent LiveBench snapshots show frontier models from Anthropic and OpenAI trading sub-point leads on the Mathematics category, with Claude Fable 5 Max Effort and GPT-5.6 Sol variants posting 95.7–96.2 scores amid frequent “thinking” and “max effort” updates. This tight clustering, combined with rapid iteration cycles from labs including Google, Moonshot, and DeepSeek, drives the market’s even implied odds across a broad field. Traders appear to weigh historical release patterns—new versions often reset leaderboards within weeks—against the benchmark’s contamination-resistant design, which emphasizes fresh competition-level problems. Key catalysts through October include potential model refreshes ahead of developer conferences and any public benchmark reruns that could widen or narrow current gaps.
Polymarket ডেটা রেফারেন্স করে পরীক্ষামূলক AI-জেনারেটেড সারাংশ। এটি ট্রেডিং পরামর্শ নয় এবং এই মার্কেট কীভাবে রেজলভ হয় তাতে কোনো ভূমিকা রাখে না। · আপডেটেডWhich company has the best AI model on LiveBench (Mathematics) end of October?
Which company has the best AI model on LiveBench (Mathematics) end of October?
StepFun 45%
Baidu 45%
Anthropic 44%
Tencent 44%
নতুন
নতুন
Oct 31, 2026
StepFun
45%
Baidu
45%
Anthropic
44%
Tencent
44%
Alibaba
43%
Moonshot
43%
DeepSeek
43%
Meta
43%
Mistral
43%
Meituan
42%
Z.ai
42%
Amazon
42%
ByteDance
42%
Thinky
42%
SpaceXAI
42%
Xiaomi
41%
Nvidia
40%
Microsoft
38%
27%
OpenAI
28%
MiniMax
24%
StepFun 45%
Baidu 45%
Anthropic 44%
Tencent 44%
নতুন
নতুন
Oct 31, 2026
StepFun
$0 Vol.
45%
Baidu
$0 Vol.
45%
Anthropic
$0 Vol.
44%
Tencent
$0 Vol.
44%
Alibaba
$0 Vol.
43%
Moonshot
$0 Vol.
43%
DeepSeek
$0 Vol.
43%
Meta
$0 Vol.
43%
Mistral
$0 Vol.
43%
Meituan
$0 Vol.
42%
Z.ai
$0 Vol.
42%
Amazon
$0 Vol.
42%
ByteDance
$0 Vol.
42%
Thinky
$0 Vol.
42%
SpaceXAI
$0 Vol.
42%
Xiaomi
$0 Vol.
41%
Nvidia
$0 Vol.
40%
Microsoft
$0 Vol.
38%
$34 Vol.
27%
OpenAI
$0 Vol.
28%
MiniMax
$0 Vol.
24%
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 October 31, 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.”Recent LiveBench snapshots show frontier models from Anthropic and OpenAI trading sub-point leads on the Mathematics category, with Claude Fable 5 Max Effort and GPT-5.6 Sol variants posting 95.7–96.2 scores amid frequent “thinking” and “max effort” updates. This tight clustering, combined with rapid iteration cycles from labs including Google, Moonshot, and DeepSeek, drives the market’s even implied odds across a broad field. Traders appear to weigh historical release patterns—new versions often reset leaderboards within weeks—against the benchmark’s contamination-resistant design, which emphasizes fresh competition-level problems. Key catalysts through October include potential model refreshes ahead of developer conferences and any public benchmark reruns that could widen or narrow current gaps.
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 October 31, 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.”
মার্কেট ওপেন হয়েছে: Aug 12, 2026, 8:04 PM ET
ভলিউম
$0শেষ তারিখ
Oct 31, 2026মার্কেট ওপেন হয়েছে
Aug 12, 2026, 8:04 PM ETResolver
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 October 31, 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.”Recent LiveBench snapshots show frontier models from Anthropic and OpenAI trading sub-point leads on the Mathematics category, with Claude Fable 5 Max Effort and GPT-5.6 Sol variants posting 95.7–96.2 scores amid frequent “thinking” and “max effort” updates. This tight clustering, combined with rapid iteration cycles from labs including Google, Moonshot, and DeepSeek, drives the market’s even implied odds across a broad field. Traders appear to weigh historical release patterns—new versions often reset leaderboards within weeks—against the benchmark’s contamination-resistant design, which emphasizes fresh competition-level problems. Key catalysts through October include potential model refreshes ahead of developer conferences and any public benchmark reruns that could widen or narrow current gaps.
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 October 31, 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.”
ভলিউম
$0শেষ তারিখ
Oct 31, 2026মার্কেট ওপেন হয়েছে
Aug 12, 2026, 8:04 PM ETResolver
0x69c47De9D...Recent LiveBench snapshots show frontier models from Anthropic and OpenAI trading sub-point leads on the Mathematics category, with Claude Fable 5 Max Effort and GPT-5.6 Sol variants posting 95.7–96.2 scores amid frequent “thinking” and “max effort” updates. This tight clustering, combined with rapid iteration cycles from labs including Google, Moonshot, and DeepSeek, drives the market’s even implied odds across a broad field. Traders appear to weigh historical release patterns—new versions often reset leaderboards within weeks—against the benchmark’s contamination-resistant design, which emphasizes fresh competition-level problems. Key catalysts through October include potential model refreshes ahead of developer conferences and any public benchmark reruns that could widen or narrow current gaps.
Polymarket ডেটা রেফারেন্স করে পরীক্ষামূলক AI-জেনারেটেড সারাংশ। এটি ট্রেডিং পরামর্শ নয় এবং এই মার্কেট কীভাবে রেজলভ হয় তাতে কোনো ভূমিকা রাখে না। · আপডেটেড
বাহ্যিক লিংক থেকে সাবধান।
বাহ্যিক লিংক থেকে সাবধান।
সচরাচর জিজ্ঞাসা