Anthropic maintains a commanding lead in trader consensus for the best coding AI model by end of May, driven by its Claude large language models topping independent benchmarks like SWE-Bench for real-world software engineering tasks. Recent updates have sharpened capabilities in multi-step code generation, debugging, and agentic workflows, outpacing rivals in developer evaluations and adoption metrics. This performance edge has translated into strong implied probability at 94.8 percent, as traders weigh consistent third-party results over marketing claims from other labs. A major new release from OpenAI or Google featuring superior fine-tuning or expanded context handling could still alter the outcome before resolution, given how quickly AI coding benchmarks evolve with fresh training approaches.
Polymarket 데이터를 참조하는 실험적 AI 생성 요약입니다. 이것은 거래 조언이 아니며 이 마켓의 정산에 영향을 미치지 않습니다. · 업데이트Anthropic 95.0%
Google 2.4%
OpenAI 1.2%
DeepSeek <1%
$28,004 거래량
$28,004 거래량

Anthropic
95%

2%

OpenAI
1%

DeepSeek
1%

Moonshot
1%

Z.ai
1%

Amazon
<1%

Meituan
<1%

xAI
<1%

Baidu
<1%

Alibaba
<1%

ByteDance
<1%

Meta
<1%

Mistral
<1%

Microsoft
<1%
Anthropic 95.0%
Google 2.4%
OpenAI 1.2%
DeepSeek <1%
$28,004 거래량
$28,004 거래량

Anthropic
95%

2%

OpenAI
1%

DeepSeek
1%

Moonshot
1%

Z.ai
1%

Amazon
<1%

Meituan
<1%

xAI
<1%

Baidu
<1%

Alibaba
<1%

ByteDance
<1%

Meta
<1%

Mistral
<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.
마켓 개설일: 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...Anthropic maintains a commanding lead in trader consensus for the best coding AI model by end of May, driven by its Claude large language models topping independent benchmarks like SWE-Bench for real-world software engineering tasks. Recent updates have sharpened capabilities in multi-step code generation, debugging, and agentic workflows, outpacing rivals in developer evaluations and adoption metrics. This performance edge has translated into strong implied probability at 94.8 percent, as traders weigh consistent third-party results over marketing claims from other labs. A major new release from OpenAI or Google featuring superior fine-tuning or expanded context handling could still alter the outcome before resolution, given how quickly AI coding benchmarks evolve with fresh training approaches.
Polymarket 데이터를 참조하는 실험적 AI 생성 요약입니다. 이것은 거래 조언이 아니며 이 마켓의 정산에 영향을 미치지 않습니다. · 업데이트
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