Trader consensus strongly backs Anthropic to deliver the best coding AI model by the end of May, driven by consistent top performance from its Claude large language models on coding benchmarks such as SWE-bench and HumanEval. These models excel at generating reliable code, resolving complex bugs, and supporting full software engineering workflows, giving them a clear edge over competitors in real developer usage. OpenAI and Google remain far behind, with no recent releases closing the gap in practical coding accuracy. The short window to month-end reduces the chance of disruptive new launches, though an unexpected capability demonstration or benchmark breakthrough from another lab could still alter the outcome.
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Anthropic 90.5%
OpenAI 2.9%
Google 2.6%
DeepSeek <1%
$35,602 交易量
$35,602 交易量

Anthropic
91%

OpenAI
3%

3%

DeepSeek
1%

Moonshot
1%

Z.ai
<1%

xAI
<1%

Baidu
<1%

Alibaba
<1%

ByteDance
<1%

Meta
<1%

Amazon
<1%

Mistral
<1%

Meituan
<1%

Microsoft
<1%
Anthropic 90.5%
OpenAI 2.9%
Google 2.6%
DeepSeek <1%
$35,602 交易量
$35,602 交易量

Anthropic
91%

OpenAI
3%

3%

DeepSeek
1%

Moonshot
1%

Z.ai
<1%

xAI
<1%

Baidu
<1%

Alibaba
<1%

ByteDance
<1%

Meta
<1%

Amazon
<1%

Mistral
<1%

Meituan
<1%

Microsoft
<1%
Results from the "Rank" column under the "Text Arena | Coding" Leaderboard tab at https://arena.ai/leaderboard/text/coding-no-style-control with style control off will be used to resolve this market.
Models will be ordered primarily by their leaderboard rank at the market’s check time. If two or more models are tied on rank, they will be ordered by their Arena score, including any underlying, unrounded, granular values reflected in the data below the leaderboard. If a tie still remains, alphabetical order of company names as listed in this market group will be used as a final tiebreaker (e.g., if the two models are tied by exact arena score, “Google” would be ranked ahead of “xAI”). This market will resolve based on the company that occupies first place under this ranking.
The resolution source for this market is the Chatbot Arena LLM Leaderboard found at https://lmarena.ai/. 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 based on another resolution source.
市场开放时间: Apr 27, 2026, 5:49 PM ET
Resolver
0x69c47De9D...Results from the "Rank" column under the "Text Arena | Coding" Leaderboard tab at https://arena.ai/leaderboard/text/coding-no-style-control with style control off will be used to resolve this market.
Models will be ordered primarily by their leaderboard rank at the market’s check time. If two or more models are tied on rank, they will be ordered by their Arena score, including any underlying, unrounded, granular values reflected in the data below the leaderboard. If a tie still remains, alphabetical order of company names as listed in this market group will be used as a final tiebreaker (e.g., if the two models are tied by exact arena score, “Google” would be ranked ahead of “xAI”). This market will resolve based on the company that occupies first place under this ranking.
The resolution source for this market is the Chatbot Arena LLM Leaderboard found at https://lmarena.ai/. 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 based on another resolution source.
Resolver
0x69c47De9D...Trader consensus strongly backs Anthropic to deliver the best coding AI model by the end of May, driven by consistent top performance from its Claude large language models on coding benchmarks such as SWE-bench and HumanEval. These models excel at generating reliable code, resolving complex bugs, and supporting full software engineering workflows, giving them a clear edge over competitors in real developer usage. OpenAI and Google remain far behind, with no recent releases closing the gap in practical coding accuracy. The short window to month-end reduces the chance of disruptive new launches, though an unexpected capability demonstration or benchmark breakthrough from another lab could still alter the outcome.
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