Recent OpenAI releases, including GPT-5.6 Sol posting the highest LiveBench coding subcategory score at 91.7, underpin Amazon’s narrow 51% market lead and the cluster of near-50% contenders, as traders weigh whether incremental updates or new agentic models from Anthropic, Moonshot, or open-weight labs like DeepSeek will overtake before October. Claude Fable 5 and Opus 5 variants trail only slightly in the same metric while dominating related agentic benchmarks such as SWE-bench, illustrating how LiveBench’s refreshed, contamination-free tasks reward specialized coding optimizations over general reasoning gains. With roughly ten weeks remaining, the tight spread reflects uncertainty around release cadence, training compute allocation, and potential surprise model drops that could shift the coding average by even a few points.
基於Polymarket數據的AI實驗性摘要。這不是交易建議，也不影響該市場的結算方式。 · 更新於亞馬遜 31%
Z.ai 30%
Anthropic 27%
StepFun 25%
最新
最新
2026-10-31
亞馬遜
27%
Z.ai
28%
Anthropic
27%
StepFun
14%
OpenAI
25%
小米
14%
字節跳動
21%
SpaceXAI
30%
美團
20%
Meta
13%
Moonshot
27%
18%
DeepSeek
16%
Nvidia
14%
Mistral
14%
騰訊
14%
MiniMax
14%
Thinky
13%
阿里巴巴
13%
百度
12%
微軟
6%
亞馬遜 31%
Z.ai 30%
Anthropic 27%
StepFun 25%
最新
最新
2026-10-31
亞馬遜
$54 交易量
27%
Z.ai
$38 交易量
28%
Anthropic
$46 交易量
27%
StepFun
$38 交易量
14%
OpenAI
$13 交易量
25%
小米
$53 交易量
14%
字節跳動
$33 交易量
21%
SpaceXAI
$33 交易量
30%
美團
$13 交易量
20%
Meta
$33 交易量
13%
Moonshot
$33 交易量
27%
$13 交易量
18%
DeepSeek
$13 交易量
16%
Nvidia
$79 交易量
14%
Mistral
$65 交易量
14%
騰訊
$33 交易量
14%
MiniMax
$74 交易量
14%
Thinky
$86 交易量
13%
阿里巴巴
$33 交易量
13%
百度
$44 交易量
12%
微軟
$53 交易量
6%
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.”Recent OpenAI releases, including GPT-5.6 Sol posting the highest LiveBench coding subcategory score at 91.7, underpin Amazon’s narrow 51% market lead and the cluster of near-50% contenders, as traders weigh whether incremental updates or new agentic models from Anthropic, Moonshot, or open-weight labs like DeepSeek will overtake before October. Claude Fable 5 and Opus 5 variants trail only slightly in the same metric while dominating related agentic benchmarks such as SWE-bench, illustrating how LiveBench’s refreshed, contamination-free tasks reward specialized coding optimizations over general reasoning gains. With roughly ten weeks remaining, the tight spread reflects uncertainty around release cadence, training compute allocation, and potential surprise model drops that could shift the coding average by even a few points.
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.”
市場開放時間： Aug 12, 2026, 8:05 PM ET
交易量
$871結束日期
2026-10-31市場開放時間
Aug 12, 2026, 8:05 PM ETResolver
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.”Recent OpenAI releases, including GPT-5.6 Sol posting the highest LiveBench coding subcategory score at 91.7, underpin Amazon’s narrow 51% market lead and the cluster of near-50% contenders, as traders weigh whether incremental updates or new agentic models from Anthropic, Moonshot, or open-weight labs like DeepSeek will overtake before October. Claude Fable 5 and Opus 5 variants trail only slightly in the same metric while dominating related agentic benchmarks such as SWE-bench, illustrating how LiveBench’s refreshed, contamination-free tasks reward specialized coding optimizations over general reasoning gains. With roughly ten weeks remaining, the tight spread reflects uncertainty around release cadence, training compute allocation, and potential surprise model drops that could shift the coding average by even a few points.
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.”
交易量
$871結束日期
2026-10-31市場開放時間
Aug 12, 2026, 8:05 PM ETResolver
0x69c47De9D...Recent OpenAI releases, including GPT-5.6 Sol posting the highest LiveBench coding subcategory score at 91.7, underpin Amazon’s narrow 51% market lead and the cluster of near-50% contenders, as traders weigh whether incremental updates or new agentic models from Anthropic, Moonshot, or open-weight labs like DeepSeek will overtake before October. Claude Fable 5 and Opus 5 variants trail only slightly in the same metric while dominating related agentic benchmarks such as SWE-bench, illustrating how LiveBench’s refreshed, contamination-free tasks reward specialized coding optimizations over general reasoning gains. With roughly ten weeks remaining, the tight spread reflects uncertainty around release cadence, training compute allocation, and potential surprise model drops that could shift the coding average by even a few points.
基於Polymarket數據的AI實驗性摘要。這不是交易建議，也不影響該市場的結算方式。 · 更新於
警惕外部連結哦。
警惕外部連結哦。
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