Recent model releases and leaderboard shifts have created a tight race for third place on Code Arena’s WebDev benchmark, where community votes evaluate agentic coding performance on real frontend and full-stack tasks. OpenAI’s GPT-6 Astra recently claimed the top spot with strong multi-step reasoning gains, while Anthropic’s Claude variants, Moonshot’s Kimi K3, Alibaba’s Qwen3.8 series, DeepSeek’s efficient open models, and Z.ai’s GLM family remain clustered closely behind on Elo-style scores. Trader consensus reflects uncertainty over which lab can sustain gains through November, as Chinese labs narrow the proprietary gap via cost-effective tool use and iterative workflows, while U.S. labs push frontier capabilities. Key swing factors include upcoming releases, benchmark volatility from new votes, and any major updates to agentic features before month-end.
Riepilogo sperimentale generato dall'AI con riferimento ai dati di Polymarket. Questo non è un consiglio di trading e non ha alcun ruolo nella risoluzione di questo mercato. · AggiornatoTerzo miglior Code Arena WebDev AI Lab a fine novembre?
Terzo miglior Code Arena WebDev AI Lab a fine novembre?
Alibaba 30%
Moonshot 25%
OpenAI 15.0%
Meta 13%
NUOVO
NUOVO
30 nov 2026
Alibaba
30%
Moonshot
25%
OpenAI
15%
Meta
13%
Z.ai
8%
SpaceXAI
7%
DeepSeek
7%
Anthropic
6%
5%
Thinky
5%
Mistral
4%
Tencent
4%
Xiaomi
4%
ByteDance
3%
Poolside
3%
MiniMax
3%
Alibaba 30%
Moonshot 25%
OpenAI 15.0%
Meta 13%
NUOVO
NUOVO
30 nov 2026
Alibaba
$336 Vol.
30%
Moonshot
$285 Vol.
25%
OpenAI
$148 Vol.
15%
Meta
$120 Vol.
13%
Z.ai
$234 Vol.
8%
SpaceXAI
$87 Vol.
7%
DeepSeek
$288 Vol.
7%
Anthropic
$87 Vol.
6%
$100 Vol.
5%
Thinky
$107 Vol.
5%
Mistral
$415 Vol.
4%
Tencent
$77 Vol.
4%
Xiaomi
$87 Vol.
4%
ByteDance
$87 Vol.
3%
Poolside
$97 Vol.
3%
MiniMax
$82 Vol.
3%
This market will resolve according to the third-highest ranked Company based on the arena.ai Code Arena | WebDev Leaderboard when the table under "Code Arena | WebDev" filtered for "Labs" is checked on November 30, 2026, 12:00 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 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".Recent model releases and leaderboard shifts have created a tight race for third place on Code Arena’s WebDev benchmark, where community votes evaluate agentic coding performance on real frontend and full-stack tasks. OpenAI’s GPT-6 Astra recently claimed the top spot with strong multi-step reasoning gains, while Anthropic’s Claude variants, Moonshot’s Kimi K3, Alibaba’s Qwen3.8 series, DeepSeek’s efficient open models, and Z.ai’s GLM family remain clustered closely behind on Elo-style scores. Trader consensus reflects uncertainty over which lab can sustain gains through November, as Chinese labs narrow the proprietary gap via cost-effective tool use and iterative workflows, while U.S. labs push frontier capabilities. Key swing factors include upcoming releases, benchmark volatility from new votes, and any major updates to agentic features before month-end.
This market will resolve according to the third-highest ranked Company based on the arena.ai Code Arena | WebDev Leaderboard when the table under "Code Arena | WebDev" filtered for "Labs" is checked on November 30, 2026, 12:00 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 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".
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 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".
Mercato aperto: Sep 17, 2026, 8:08 PM ET
Volume
$2,634Data di fine
1 dic 2026Mercato aperto
Sep 17, 2026, 8:08 PM ETRisolutore
0x69c47De9D...This market will resolve according to the third-highest ranked Company based on the arena.ai Code Arena | WebDev Leaderboard when the table under "Code Arena | WebDev" filtered for "Labs" is checked on November 30, 2026, 12:00 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 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".Recent model releases and leaderboard shifts have created a tight race for third place on Code Arena’s WebDev benchmark, where community votes evaluate agentic coding performance on real frontend and full-stack tasks. OpenAI’s GPT-6 Astra recently claimed the top spot with strong multi-step reasoning gains, while Anthropic’s Claude variants, Moonshot’s Kimi K3, Alibaba’s Qwen3.8 series, DeepSeek’s efficient open models, and Z.ai’s GLM family remain clustered closely behind on Elo-style scores. Trader consensus reflects uncertainty over which lab can sustain gains through November, as Chinese labs narrow the proprietary gap via cost-effective tool use and iterative workflows, while U.S. labs push frontier capabilities. Key swing factors include upcoming releases, benchmark volatility from new votes, and any major updates to agentic features before month-end.
This market will resolve according to the third-highest ranked Company based on the arena.ai Code Arena | WebDev Leaderboard when the table under "Code Arena | WebDev" filtered for "Labs" is checked on November 30, 2026, 12:00 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 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".
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 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".
Volume
$2,634Data di fine
1 dic 2026Mercato aperto
Sep 17, 2026, 8:08 PM ETRisolutore
0x69c47De9D...Recent model releases and leaderboard shifts have created a tight race for third place on Code Arena’s WebDev benchmark, where community votes evaluate agentic coding performance on real frontend and full-stack tasks. OpenAI’s GPT-6 Astra recently claimed the top spot with strong multi-step reasoning gains, while Anthropic’s Claude variants, Moonshot’s Kimi K3, Alibaba’s Qwen3.8 series, DeepSeek’s efficient open models, and Z.ai’s GLM family remain clustered closely behind on Elo-style scores. Trader consensus reflects uncertainty over which lab can sustain gains through November, as Chinese labs narrow the proprietary gap via cost-effective tool use and iterative workflows, while U.S. labs push frontier capabilities. Key swing factors include upcoming releases, benchmark volatility from new votes, and any major updates to agentic features before month-end.
Riepilogo sperimentale generato dall'AI con riferimento ai dati di Polymarket. Questo non è un consiglio di trading e non ha alcun ruolo nella risoluzione di questo mercato. · AggiornatoCorrelati
MiniMax sarà il secondo miglior laboratorio AI di Code Arena | WebDev alla fine di novembre 2026?
32%
Sì
Alibaba sarà il terzo miglior Code Arena | WebDev AI lab alla fine di settembre 2026?
71%
Sì
Anthropic sarà il secondo miglior laboratorio di intelligenza artificiale per WebDev nella Code Arena alla fine di settembre 2026?
74%
Sì
Fai attenzione ai link esterni.
Fai attenzione ai link esterni.
Domande frequenti