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icon for 哪家公司在10月底的LiveBench ( Coding )上擁有最好的人工智能模型?

哪家公司在10月底的LiveBench ( Coding )上擁有最好的人工智能模型?

icon for 哪家公司在10月底的LiveBench ( Coding )上擁有最好的人工智能模型?

哪家公司在10月底的LiveBench ( Coding )上擁有最好的人工智能模型?

Anthropic 86%

OpenAI 12.5%

Google <1%

DeepSeek <1%

Polymarket

$22,608 交易量

Anthropic 86%

OpenAI 12.5%

Google <1%

DeepSeek <1%

Polymarket

$22,608 交易量

icon for Anthropic

Anthropic

$10,051 交易量

86%

icon for OpenAI

OpenAI

$3,327 交易量

13%

icon for Google

Google

$746 交易量

1%

icon for DeepSeek

DeepSeek

$703 交易量

1%

icon for SpaceXAI

SpaceXAI

$1,102 交易量

1%

icon for MiniMax

MiniMax

$489 交易量

<1%

icon for Meta

Meta

$398 交易量

<1%

icon for 阿里巴巴

阿里巴巴

$355 交易量

<1%

icon for Moonshot

Moonshot

$310 交易量

<1%

icon for 百度

百度

$395 交易量

<1%

icon for Z.ai

Z.ai

$507 交易量

<1%

icon for 小米

小米

$468 交易量

<1%

icon for 亞馬遜

亞馬遜

$410 交易量

<1%

icon for 字節跳動

字節跳動

$363 交易量

<1%

icon for Nvidia

Nvidia

$499 交易量

<1%

icon for Thinky

Thinky

$454 交易量

<1%

icon for Mistral

Mistral

$612 交易量

<1%

icon for 美團

美團

$364 交易量

<1%

icon for 騰訊

騰訊

$297 交易量

<1%

icon for StepFun

StepFun

$334 交易量

<1%

icon for 微軟

微軟

$426 交易量

<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 holds an 85.5% market-implied probability of leading LiveBench Coding at end of October, driven by its Claude Fable 5.1 and Opus 5 models posting top scores across multiple coding evaluations including SWE-bench Verified and related agentic tasks in recent months. These releases, with strong performance on contamination-resistant benchmarks, have reinforced trader consensus around Anthropic's edge in software engineering capabilities over OpenAI's GPT-6 Astra and GPT variants, which sit at just 12.6%. OpenAI's September model update and ongoing competition from Chinese labs like DeepSeek add uncertainty, but no verified LiveBench Coding shifts have displaced Anthropic's positioning yet. Key catalysts through October include any new model drops or benchmark refreshes that could alter the leaderboard.

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.”
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.”
交易量
$22,608
結束日期
2026-11-01
市場開放時間
Aug 12, 2026, 8:05 PM ET
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 holds an 85.5% market-implied probability of leading LiveBench Coding at end of October, driven by its Claude Fable 5.1 and Opus 5 models posting top scores across multiple coding evaluations including SWE-bench Verified and related agentic tasks in recent months. These releases, with strong performance on contamination-resistant benchmarks, have reinforced trader consensus around Anthropic's edge in software engineering capabilities over OpenAI's GPT-6 Astra and GPT variants, which sit at just 12.6%. OpenAI's September model update and ongoing competition from Chinese labs like DeepSeek add uncertainty, but no verified LiveBench Coding shifts have displaced Anthropic's positioning yet. Key catalysts through October include any new model drops or benchmark refreshes that could alter the leaderboard.

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.”
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.”
交易量
$22,608
結束日期
2026-11-01
市場開放時間
Aug 12, 2026, 8:05 PM ET

警惕外部連結哦。

Frequently Asked Questions

"哪家公司在10月底的LiveBench ( Coding )上擁有最好的人工智能模型?" is a prediction market on Polymarket with 21 possible outcomes where traders buy and sell shares based on what they believe will happen. The current leading outcome is "Anthropic" at 86%, followed by "OpenAI" at 13%. Prices reflect real-time crowd-sourced probabilities. For example, a share priced at 86¢ implies that the market collectively assigns a 86% chance to that outcome. These odds shift continuously as traders react to new developments and information. Shares in the correct outcome are redeemable for $1 each upon market resolution.

As of today, "哪家公司在10月底的LiveBench ( Coding )上擁有最好的人工智能模型?" has generated $22.6K in total trading volume since the market launched on Aug 12, 2026. This level of trading activity reflects strong engagement from the Polymarket community and helps ensure that the current odds are informed by a deep pool of market participants. You can track live price movements and trade on any outcome directly on this page.

To trade on "哪家公司在10月底的LiveBench ( Coding )上擁有最好的人工智能模型?," browse the 21 available outcomes listed on this page. Each outcome displays a current price representing the market's implied probability. To take a position, select the outcome you believe is most likely, choose "Yes" to trade in favor of it or "No" to trade against it, enter your amount, and click "Trade." If your chosen outcome is correct when the market resolves, your "Yes" shares pay out $1 each. If it's incorrect, they pay out $0. You can also sell your shares at any time before resolution if you want to lock in a profit or cut a loss.

The current frontrunner for "哪家公司在10月底的LiveBench ( Coding )上擁有最好的人工智能模型?" is "Anthropic" at 86%, meaning the market assigns a 86% chance to that outcome. The next closest outcome is "OpenAI" at 13%. These odds update in real-time as traders buy and sell shares, so they reflect the latest collective view of what's most likely to happen. Check back frequently or bookmark this page to follow how the odds shift as new information emerges.

The resolution rules for "哪家公司在10月底的LiveBench ( Coding )上擁有最好的人工智能模型?" define exactly what needs to happen for each outcome to be declared a winner — including the official data sources used to determine the result. You can review the complete resolution criteria in the "Rules" section on this page above the comments. We recommend reading the rules carefully before trading, as they specify the precise conditions, edge cases, and sources that govern how this market is settled.