Alibaba's Qwen3.8-max and related models have driven the 57% market-implied odds for third place by posting 1670+ scores on the live Code Arena WebDev leaderboard as of August 11, placing them directly behind top Anthropic entries in agentic frontend tasks that test multi-step reasoning, tool use, and iterative app building. Chinese labs including Moonshot and DeepSeek maintain competitive positioning through specialized coding optimizations and strong SWE-bench-style results, creating a tight cluster of 50% outcomes for several contenders while established Western labs trail due to narrower edges in this benchmark's real-world web development workflows. Traders are watching for any late-August model updates or leaderboard shifts before resolution, as these arenas reward demonstrated capabilities over general benchmarks.
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。 · 更新于阿里巴巴 57.1%
Moonshot 25.4%
Z.ai 6.5%
SpaceXAI 4.5%
$43,116 交易量
$43,116 交易量

阿里巴巴
57%

Moonshot
28%

Z.ai
6%

SpaceXAI
4%

Meta
4%

DeepSeek
8%

OpenAI
3%

谷歌
2%

Anthropic
1%

字节跳动
<1%

MiniMax
<1%

小米
<1%

Thinky
<1%

腾讯
<1%

Poolside
<1%

Mistral
<1%
阿里巴巴 57.1%
Moonshot 25.4%
Z.ai 6.5%
SpaceXAI 4.5%
$43,116 交易量
$43,116 交易量

阿里巴巴
57%

Moonshot
28%

Z.ai
6%

SpaceXAI
4%

Meta
4%

DeepSeek
8%

OpenAI
3%

谷歌
2%

Anthropic
1%

字节跳动
<1%

MiniMax
<1%

小米
<1%

Thinky
<1%

腾讯
<1%

Poolside
<1%

Mistral
<1%
Results from the "Lab Rank" column under the "Code Arena | WebDev" Leaderboard tab at https://arena.ai/leaderboard/code/webdev?rankBy=labs (Overall) filtered for "Labs" will be used to resolve this market.
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 third place under this ranking.
The resolution source for this market is the arena.ai Code Arena | WebDev 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: Jul 20, 2026, 8:32 PM ET
Results from the "Lab Rank" column under the "Code Arena | WebDev" Leaderboard tab at https://arena.ai/leaderboard/code/webdev?rankBy=labs (Overall) filtered for "Labs" will be used to resolve this market.
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 third place under this ranking.
The resolution source for this market is the arena.ai Code Arena | WebDev 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".
Alibaba's Qwen3.8-max and related models have driven the 57% market-implied odds for third place by posting 1670+ scores on the live Code Arena WebDev leaderboard as of August 11, placing them directly behind top Anthropic entries in agentic frontend tasks that test multi-step reasoning, tool use, and iterative app building. Chinese labs including Moonshot and DeepSeek maintain competitive positioning through specialized coding optimizations and strong SWE-bench-style results, creating a tight cluster of 50% outcomes for several contenders while established Western labs trail due to narrower edges in this benchmark's real-world web development workflows. Traders are watching for any late-August model updates or leaderboard shifts before resolution, as these arenas reward demonstrated capabilities over general benchmarks.
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。
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