Anthropic’s recent Claude Fable 5.1 release on September 1 has solidified its lead on LiveBench coding tasks, driving the 86.5% market-implied odds as traders price in sustained frontier performance through October. The model’s strong results on objective, contamination-resistant coding and agentic subsets reflect Anthropic’s focused post-training on real-world software engineering workflows, outpacing OpenAI’s GPT-6 Astra launch two days later. With LiveBench questions rotating monthly and no major competing model drops expected before end-October, the gap appears durable absent an unexpected capability jump from rivals. OpenAI’s 7.3% reflects its competitive but secondary positioning on the same benchmarks, while lower-probability names face larger capability shortfalls.
Eksperymentalne podsumowanie AI odwołujące się do danych Polymarket. To nie jest porada handlowa i nie ma wpływu na rozstrzyganie tego rynku. · ZaktualizowanoWhich 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 87%
OpenAI 8.3%
DeepSeek <1%
SpaceXAI <1%
$21,176 Wol.
$21,176 Wol.
Oct 31, 2026
Anthropic
87%
OpenAI
8%
DeepSeek
1%
SpaceXAI
1%
Mistral
<1%
<1%
Nvidia
<1%
MiniMax
<1%
Meta
<1%
Alibaba
<1%
Moonshot
<1%
Baidu
<1%
Z.ai
<1%
Xiaomi
<1%
Amazon
<1%
ByteDance
<1%
Thinky
<1%
Meituan
<1%
Tencent
<1%
StepFun
<1%
Microsoft
<1%
Anthropic 87%
OpenAI 8.3%
DeepSeek <1%
SpaceXAI <1%
$21,176 Wol.
$21,176 Wol.
Oct 31, 2026
Anthropic
$9,187 Wol.
87%
OpenAI
$3,089 Wol.
8%
DeepSeek
$657 Wol.
1%
SpaceXAI
$1,081 Wol.
1%
Mistral
$553 Wol.
<1%
$546 Wol.
<1%
Nvidia
$499 Wol.
<1%
MiniMax
$484 Wol.
<1%
Meta
$398 Wol.
<1%
Alibaba
$355 Wol.
<1%
Moonshot
$310 Wol.
<1%
Baidu
$395 Wol.
<1%
Z.ai
$507 Wol.
<1%
Xiaomi
$468 Wol.
<1%
Amazon
$410 Wol.
<1%
ByteDance
$363 Wol.
<1%
Thinky
$454 Wol.
<1%
Meituan
$364 Wol.
<1%
Tencent
$297 Wol.
<1%
StepFun
$334 Wol.
<1%
Microsoft
$426 Wol.
<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 release on September 1 has solidified its lead on LiveBench coding tasks, driving the 86.5% market-implied odds as traders price in sustained frontier performance through October. The model’s strong results on objective, contamination-resistant coding and agentic subsets reflect Anthropic’s focused post-training on real-world software engineering workflows, outpacing OpenAI’s GPT-6 Astra launch two days later. With LiveBench questions rotating monthly and no major competing model drops expected before end-October, the gap appears durable absent an unexpected capability jump from rivals. OpenAI’s 7.3% reflects its competitive but secondary positioning on the same benchmarks, while lower-probability names face larger capability shortfalls.
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.”
Rynek otwarty: Aug 12, 2026, 8:05 PM ET
Wolumen
$21,176Data zakończenia
Nov 1, 2026Rynek otwarty
Aug 12, 2026, 8:05 PM ETRozstrzygający
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 release on September 1 has solidified its lead on LiveBench coding tasks, driving the 86.5% market-implied odds as traders price in sustained frontier performance through October. The model’s strong results on objective, contamination-resistant coding and agentic subsets reflect Anthropic’s focused post-training on real-world software engineering workflows, outpacing OpenAI’s GPT-6 Astra launch two days later. With LiveBench questions rotating monthly and no major competing model drops expected before end-October, the gap appears durable absent an unexpected capability jump from rivals. OpenAI’s 7.3% reflects its competitive but secondary positioning on the same benchmarks, while lower-probability names face larger capability shortfalls.
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.”
Wolumen
$21,176Data zakończenia
Nov 1, 2026Rynek otwarty
Aug 12, 2026, 8:05 PM ETRozstrzygający
0x69c47De9D...Anthropic’s recent Claude Fable 5.1 release on September 1 has solidified its lead on LiveBench coding tasks, driving the 86.5% market-implied odds as traders price in sustained frontier performance through October. The model’s strong results on objective, contamination-resistant coding and agentic subsets reflect Anthropic’s focused post-training on real-world software engineering workflows, outpacing OpenAI’s GPT-6 Astra launch two days later. With LiveBench questions rotating monthly and no major competing model drops expected before end-October, the gap appears durable absent an unexpected capability jump from rivals. OpenAI’s 7.3% reflects its competitive but secondary positioning on the same benchmarks, while lower-probability names face larger capability shortfalls.
Eksperymentalne podsumowanie AI odwołujące się do danych Polymarket. To nie jest porada handlowa i nie ma wpływu na rozstrzyganie tego rynku. · Zaktualizowano
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