Anthropic's recent Claude Fable 5.1 and Opus 5 releases, with strong gains on agentic coding tasks like Terminal-Bench and SWE-bench Verified, underpin the 84.5% market-implied odds for leading LiveBench Coding by end of October. These large language models demonstrate superior performance in contamination-resistant evaluations of code generation and reasoning, outpacing OpenAI's GPT-5.6 variants despite the latter's overall benchmark edges in prior June 2026 LiveBench snapshots. Traders appear to factor in Anthropic's consistent frontier positioning on practical coding metrics and expected model iterations before the next LiveBench refresh, while lower odds for OpenAI, Google, and Chinese labs like Moonshot or Z.ai reflect narrower leads or less recent specialized updates in this category.
Експериментальне резюме, згенероване ШІ з посиланням на дані Polymarket. Це не торгова порада і не впливає на вирішення цього ринку. · ОновленоWhich company has the best AI model on LiveBench (Coding) end of October?
Which company has the best AI model on LiveBench (Coding) end of October?
Anthropic 85%
OpenAI 3.0%
SpaceXAI <1%
DeepSeek <1%
$18,015 Обс.
$18,015 Обс.
Oct 31, 2026
Anthropic
85%
OpenAI
3%
SpaceXAI
1%
DeepSeek
1%
Mistral
<1%
<1%
Nvidia
<1%
MiniMax
<1%
Tencent
<1%
Microsoft
<1%
StepFun
<1%
Baidu
<1%
Z.ai
<1%
Xiaomi
<1%
Amazon
<1%
ByteDance
<1%
Thinky
<1%
Meituan
<1%
Meta
<1%
Alibaba
<1%
Moonshot
<1%
Anthropic 85%
OpenAI 3.0%
SpaceXAI <1%
DeepSeek <1%
$18,015 Обс.
$18,015 Обс.
Oct 31, 2026
Anthropic
$6,398 Обс.
85%
OpenAI
$2,960 Обс.
3%
SpaceXAI
$1,081 Обс.
1%
DeepSeek
$520 Обс.
1%
Mistral
$552 Обс.
<1%
$546 Обс.
<1%
Nvidia
$455 Обс.
<1%
MiniMax
$424 Обс.
<1%
Tencent
$297 Обс.
<1%
Microsoft
$426 Обс.
<1%
StepFun
$334 Обс.
<1%
Baidu
$395 Обс.
<1%
Z.ai
$507 Обс.
<1%
Xiaomi
$468 Обс.
<1%
Amazon
$410 Обс.
<1%
ByteDance
$363 Обс.
<1%
Thinky
$454 Обс.
<1%
Meituan
$364 Обс.
<1%
Meta
$398 Обс.
<1%
Alibaba
$355 Обс.
<1%
Moonshot
$310 Обс.
<1%
This market will resolve according to the company which owns the model with the highest Coding score on LiveBench.ai when the leaderboard is checked on October 31, 2026, at 12:00 PM ET.
Results from the “Coding” column of the leaderboard at https://livebench.ai/#/?cats=Coding, with the latest available LiveBench release selected and the category set to “Coding,” 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.”Anthropic's recent Claude Fable 5.1 and Opus 5 releases, with strong gains on agentic coding tasks like Terminal-Bench and SWE-bench Verified, underpin the 84.5% market-implied odds for leading LiveBench Coding by end of October. These large language models demonstrate superior performance in contamination-resistant evaluations of code generation and reasoning, outpacing OpenAI's GPT-5.6 variants despite the latter's overall benchmark edges in prior June 2026 LiveBench snapshots. Traders appear to factor in Anthropic's consistent frontier positioning on practical coding metrics and expected model iterations before the next LiveBench refresh, while lower odds for OpenAI, Google, and Chinese labs like Moonshot or Z.ai reflect narrower leads or less recent specialized updates in this category.
This market will resolve according to the company which owns the model with the highest Coding score on LiveBench.ai when the leaderboard is checked on October 31, 2026, at 12:00 PM ET.
Results from the “Coding” column of the leaderboard at https://livebench.ai/#/?cats=Coding, with the latest available LiveBench release selected and the category set to “Coding,” 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 “Coding” column of the leaderboard at https://livebench.ai/#/?cats=Coding, with the latest available LiveBench release selected and the category set to “Coding,” 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.”
Ринок відкрито: Aug 12, 2026, 8:05 PM ET
Обсяг
$18,015Дата завершення
Nov 1, 2026Ринок відкрито
Aug 12, 2026, 8:05 PM ETВирішувач
0x69c47De9D...This market will resolve according to the company which owns the model with the highest Coding score on LiveBench.ai when the leaderboard is checked on October 31, 2026, at 12:00 PM ET.
Results from the “Coding” column of the leaderboard at https://livebench.ai/#/?cats=Coding, with the latest available LiveBench release selected and the category set to “Coding,” 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.”Anthropic's recent Claude Fable 5.1 and Opus 5 releases, with strong gains on agentic coding tasks like Terminal-Bench and SWE-bench Verified, underpin the 84.5% market-implied odds for leading LiveBench Coding by end of October. These large language models demonstrate superior performance in contamination-resistant evaluations of code generation and reasoning, outpacing OpenAI's GPT-5.6 variants despite the latter's overall benchmark edges in prior June 2026 LiveBench snapshots. Traders appear to factor in Anthropic's consistent frontier positioning on practical coding metrics and expected model iterations before the next LiveBench refresh, while lower odds for OpenAI, Google, and Chinese labs like Moonshot or Z.ai reflect narrower leads or less recent specialized updates in this category.
This market will resolve according to the company which owns the model with the highest Coding score on LiveBench.ai when the leaderboard is checked on October 31, 2026, at 12:00 PM ET.
Results from the “Coding” column of the leaderboard at https://livebench.ai/#/?cats=Coding, with the latest available LiveBench release selected and the category set to “Coding,” 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 “Coding” column of the leaderboard at https://livebench.ai/#/?cats=Coding, with the latest available LiveBench release selected and the category set to “Coding,” 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.”
Обсяг
$18,015Дата завершення
Nov 1, 2026Ринок відкрито
Aug 12, 2026, 8:05 PM ETВирішувач
0x69c47De9D...Anthropic's recent Claude Fable 5.1 and Opus 5 releases, with strong gains on agentic coding tasks like Terminal-Bench and SWE-bench Verified, underpin the 84.5% market-implied odds for leading LiveBench Coding by end of October. These large language models demonstrate superior performance in contamination-resistant evaluations of code generation and reasoning, outpacing OpenAI's GPT-5.6 variants despite the latter's overall benchmark edges in prior June 2026 LiveBench snapshots. Traders appear to factor in Anthropic's consistent frontier positioning on practical coding metrics and expected model iterations before the next LiveBench refresh, while lower odds for OpenAI, Google, and Chinese labs like Moonshot or Z.ai reflect narrower leads or less recent specialized updates in this category.
Експериментальне резюме, згенероване ШІ з посиланням на дані Polymarket. Це не торгова порада і не впливає на вирішення цього ринку. · Оновлено
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