Trader sentiment for the second-best Code Arena WebDev AI Lab by end of November shows a tightly contested field, with multiple outcomes including Other and several labs implied near 50% probability and Anthropic at 49.5%. This reflects comparable demonstrated capabilities across AI labs in web development tasks and agentic coding benchmarks, where no single model has pulled ahead decisively in recent evaluations. OpenAI at 22.5% and Google at 12.5% trail, while smaller players like Poolside and DeepSeek sit lower amid uncertainty over specialized fine-tuning for frontend frameworks and full-stack deployment. Key swing factors include upcoming model updates, benchmark methodology changes, and any new releases that could shift relative performance before resolution.
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Anthropic 51%
OpenAI 24%
Google 12%
Meta 8%

Anthropic
51%

OpenAI
24%

12%

Meta
8%

DeepSeek
7%

Poolside
6%

Z.ai
4%

MiniMax
4%

ByteDance
4%

阿里巴巴
4%

Moonshot
3%

SpaceXAI
2%

小米
2%

騰訊
1%

Mistral
<1%

Thinky
<1%
Anthropic 51%
OpenAI 24%
Google 12%
Meta 8%

Anthropic
51%

OpenAI
24%

12%

Meta
8%

DeepSeek
7%

Poolside
6%

Z.ai
4%

MiniMax
4%

ByteDance
4%

阿里巴巴
4%

Moonshot
3%

SpaceXAI
2%

小米
2%

騰訊
1%

Mistral
<1%

Thinky
<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.
Note: 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 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: Sep 17, 2026, 8:13 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.
Note: 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 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".
Trader sentiment for the second-best Code Arena WebDev AI Lab by end of November shows a tightly contested field, with multiple outcomes including Other and several labs implied near 50% probability and Anthropic at 49.5%. This reflects comparable demonstrated capabilities across AI labs in web development tasks and agentic coding benchmarks, where no single model has pulled ahead decisively in recent evaluations. OpenAI at 22.5% and Google at 12.5% trail, while smaller players like Poolside and DeepSeek sit lower amid uncertainty over specialized fine-tuning for frontend frameworks and full-stack deployment. Key swing factors include upcoming model updates, benchmark methodology changes, and any new releases that could shift relative performance before resolution.
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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