Anthropic's Claude models lead LiveBench coding evaluations due to top scores in recent benchmark refreshes emphasizing contamination-resistant tasks like code generation and agentic problem-solving. Their latest releases demonstrate superior performance in handling complex repositories, execution validation, and multi-step debugging compared to competitors. This drives the near-certain market consensus around Anthropic. Realistic challenges include a major new model launch from OpenAI or Google before resolution, or the next LiveBench question rotation that could shift category rankings if other labs close the gap on benchmarks.
Экспериментальная сводка, созданная ИИ на основе данных Polymarket. Это не является торговой рекомендацией и не влияет на то, как разрешается этот рынок. · ОбновленоWhich company has the best AI model on LiveBench (Coding) end of August?
Which company has the best AI model on LiveBench (Coding) end of August?
Anthropic 100.0%
Alibaba <1%
OpenAI <1%
Z.ai <1%
$51,410 Объем
$51,410 Объем
31 авг. 2026 г.
Alibaba
No
OpenAI
No
Z.ai
No
Xiaomi
No
SpaceXAI
No
ByteDance
No
Nvidia
No
Moonshot
No
Baidu
No
DeepSeek
No
Amazon
No
MiniMax
No
StepFun
No
Thinky
No
Mistral
No
Meituan
No
Tencent
No
Microsoft
No
Anthropic
Yes
Meta
No
No
Anthropic 100.0%
Alibaba <1%
OpenAI <1%
Z.ai <1%
$51,410 Объем
$51,410 Объем
31 авг. 2026 г.
Alibaba
$466 Объем
No
OpenAI
$6,113 Объем
No
Z.ai
$3,034 Объем
No
Xiaomi
$1,760 Объем
No
SpaceXAI
$3,275 Объем
No
ByteDance
$471 Объем
No
Nvidia
$818 Объем
No
Moonshot
$672 Объем
No
Baidu
$421 Объем
No
DeepSeek
$589 Объем
No
Amazon
$441 Объем
No
MiniMax
$1,196 Объем
No
StepFun
$656 Объем
No
Thinky
$1,212 Объем
No
Mistral
$366 Объем
No
Meituan
$465 Объем
No
Tencent
$372 Объем
No
Microsoft
$581 Объем
No
Anthropic
$24,798 Объем
Yes
Meta
$604 Объем
No
$3,099 Объем
No
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 August 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 Claude models lead LiveBench coding evaluations due to top scores in recent benchmark refreshes emphasizing contamination-resistant tasks like code generation and agentic problem-solving. Their latest releases demonstrate superior performance in handling complex repositories, execution validation, and multi-step debugging compared to competitors. This drives the near-certain market consensus around Anthropic. Realistic challenges include a major new model launch from OpenAI or Google before resolution, or the next LiveBench question rotation that could shift category rankings if other labs close the gap on benchmarks.
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 August 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.”
Открытие рынка: Jul 29, 2026, 6:27 PM ET
Объем
$51,410Дата окончания
1 сент. 2026 г.Открытие рынка
Jul 29, 2026, 6:27 PM ETИсточник определения исхода
https://livebench.ai/#/?cats=CodingКто определяет исход
0x69c47De9D...Предложенный исход: Yes
Спор отсутствует
Окончательный исход: Yes
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 August 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 Claude models lead LiveBench coding evaluations due to top scores in recent benchmark refreshes emphasizing contamination-resistant tasks like code generation and agentic problem-solving. Their latest releases demonstrate superior performance in handling complex repositories, execution validation, and multi-step debugging compared to competitors. This drives the near-certain market consensus around Anthropic. Realistic challenges include a major new model launch from OpenAI or Google before resolution, or the next LiveBench question rotation that could shift category rankings if other labs close the gap on benchmarks.
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 August 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.”
Объем
$51,410Дата окончания
1 сент. 2026 г.Открытие рынка
Jul 29, 2026, 6:27 PM ETИсточник определения исхода
https://livebench.ai/#/?cats=CodingКто определяет исход
0x69c47De9D...Предложенный исход: Yes
Спор отсутствует
Окончательный исход: Yes
Anthropic's Claude models lead LiveBench coding evaluations due to top scores in recent benchmark refreshes emphasizing contamination-resistant tasks like code generation and agentic problem-solving. Their latest releases demonstrate superior performance in handling complex repositories, execution validation, and multi-step debugging compared to competitors. This drives the near-certain market consensus around Anthropic. Realistic challenges include a major new model launch from OpenAI or Google before resolution, or the next LiveBench question rotation that could shift category rankings if other labs close the gap on benchmarks.
Экспериментальная сводка, созданная ИИ на основе данных Polymarket. Это не является торговой рекомендацией и не влияет на то, как разрешается этот рынок. · Обновлено
Не доверяй внешним ссылкам.
Не доверяй внешним ссылкам.
Часто задаваемые вопросы