OpenAI holds a narrow lead in trader sentiment for the second-best AI agent lab by late November, reflecting its strong position in large language model scaling and early agent frameworks, yet the near-50% odds for multiple contenders underscore a highly competitive field. Rapid progress in tool-use benchmarks, multi-step reasoning, and real-world deployment by labs including Anthropic, Google, and emerging players like Moonshot keeps probabilities fluid. Key differentiators include demonstrated agent reliability, integration with developer ecosystems, and safety evaluations, with upcoming model updates or capability demos likely to shift consensus before resolution.
基于Polymarket数据的AI实验性摘要。这不是交易建议,也不影响该市场的结算方式。 · 更新于OpenAI 51%
Anthropic 17%
微软 11.0%
Moonshot 9%

OpenAI
51%

Anthropic
17%

微软
11%

Moonshot
9%

谷歌
7%

Z.ai
4%

Meta
4%

DeepSeek
4%

SpaceXAI
4%

阿里巴巴
4%

亚马逊
4%

Mistral
4%

小米
3%

字节跳动
3%

美团
3%

Nvidia
3%

百度
1%

MiniMax
1%

腾讯
1%
OpenAI 51%
Anthropic 17%
微软 11.0%
Moonshot 9%

OpenAI
51%

Anthropic
17%

微软
11%

Moonshot
9%

谷歌
7%

Z.ai
4%

Meta
4%

DeepSeek
4%

SpaceXAI
4%

阿里巴巴
4%

亚马逊
4%

Mistral
4%

小米
3%

字节跳动
3%

美团
3%

Nvidia
3%

百度
1%

MiniMax
1%

腾讯
1%
Results from the "Rank" column under the "Agent Arena" Leaderboard tab at https://arena.ai/leaderboard/agent filtered for "Labs" will be used to resolve this market.
Models marked “AutoEval” at the applicable check time will not be considered, regardless of whether they display a rank or score.
AI companies will be ordered primarily by their Lab Rank at the market’s check time. If the results based on the lab ranking are ambiguous or unavailable, the relevant AI companies will be ordered according to their highest-ranking AI model in the leaderboard’s “Models” view. If two or more models are tied on rank, they will be ordered by which model is listed higher on the leaderboard. If a tie still remains, alphabetical order of AI lab/company names as listed in this market group will be used as a final tiebreaker (e.g., “Google” would be ranked ahead of “SpaceXAI”). This market will resolve based on the company that occupies second place under this ranking.
The resolution source for this market is the arena.ai Agent Arena 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".
市场开放时间: Sep 17, 2026, 8:03 PM ET
Results from the "Rank" column under the "Agent Arena" Leaderboard tab at https://arena.ai/leaderboard/agent filtered for "Labs" will be used to resolve this market.
Models marked “AutoEval” at the applicable check time will not be considered, regardless of whether they display a rank or score.
AI companies will be ordered primarily by their Lab Rank at the market’s check time. If the results based on the lab ranking are ambiguous or unavailable, the relevant AI companies will be ordered according to their highest-ranking AI model in the leaderboard’s “Models” view. If two or more models are tied on rank, they will be ordered by which model is listed higher on the leaderboard. If a tie still remains, alphabetical order of AI lab/company names as listed in this market group will be used as a final tiebreaker (e.g., “Google” would be ranked ahead of “SpaceXAI”). This market will resolve based on the company that occupies second place under this ranking.
The resolution source for this market is the arena.ai Agent Arena 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".
OpenAI holds a narrow lead in trader sentiment for the second-best AI agent lab by late November, reflecting its strong position in large language model scaling and early agent frameworks, yet the near-50% odds for multiple contenders underscore a highly competitive field. Rapid progress in tool-use benchmarks, multi-step reasoning, and real-world deployment by labs including Anthropic, Google, and emerging players like Moonshot keeps probabilities fluid. Key differentiators include demonstrated agent reliability, integration with developer ecosystems, and safety evaluations, with upcoming model updates or capability demos likely to shift consensus before resolution.
基于Polymarket数据的AI实验性摘要。这不是交易建议,也不影响该市场的结算方式。 · 更新于
警惕外部链接哦。
警惕外部链接哦。
常见问题