Alibaba's Qwen3.7-Max and related coding-focused releases have driven its 78% implied probability as the third-best lab on the Code Arena WebDev leaderboard by month-end, reflecting consistent high Elo scores in agentic front-end tasks that emphasize multi-step reasoning and tool use. Recent leaderboard snapshots show Chinese labs maintaining strong positioning against frontier U.S. models, with Alibaba's API pricing and benchmark results on SWE-Bench and arena-style evaluations supporting trader consensus around its placement behind likely leaders like Anthropic or OpenAI. Moonshot's Kimi K3, at 15%, benefits from prior #1 or #2 finishes in frontend arenas but trails in overall lab momentum, while lower-odds entries like Meta, Google, and DeepSeek reflect limited recent gains in this specific WebDev metric. With resolution imminent, any final model updates or vote shifts in the next ten days could alter the third spot.
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。 · 更新於阿里巴巴 78.3%
Moonshot 15.6%
Z.ai 4.8%
OpenAI 2.3%
$47,319 交易量
$47,319 交易量

阿里巴巴
78%

Moonshot
16%

Z.ai
5%

OpenAI
2%

Meta
2%

SpaceXAI
1%

DeepSeek
1%

1%

Anthropic
1%

字節跳動
<1%

MiniMax
<1%

小米
<1%

Thinky
<1%

騰訊
<1%

Poolside
<1%

Mistral
<1%
阿里巴巴 78.3%
Moonshot 15.6%
Z.ai 4.8%
OpenAI 2.3%
$47,319 交易量
$47,319 交易量

阿里巴巴
78%

Moonshot
16%

Z.ai
5%

OpenAI
2%

Meta
2%

SpaceXAI
1%

DeepSeek
1%

1%

Anthropic
1%

字節跳動
<1%

MiniMax
<1%

小米
<1%

Thinky
<1%

騰訊
<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".
市場開放時間: 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 Qwen3.7-Max and related coding-focused releases have driven its 78% implied probability as the third-best lab on the Code Arena WebDev leaderboard by month-end, reflecting consistent high Elo scores in agentic front-end tasks that emphasize multi-step reasoning and tool use. Recent leaderboard snapshots show Chinese labs maintaining strong positioning against frontier U.S. models, with Alibaba's API pricing and benchmark results on SWE-Bench and arena-style evaluations supporting trader consensus around its placement behind likely leaders like Anthropic or OpenAI. Moonshot's Kimi K3, at 15%, benefits from prior #1 or #2 finishes in frontend arenas but trails in overall lab momentum, while lower-odds entries like Meta, Google, and DeepSeek reflect limited recent gains in this specific WebDev metric. With resolution imminent, any final model updates or vote shifts in the next ten days could alter the third spot.
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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