Trader consensus heavily favors Anthropic for the best coding AI model by end of May, driven by Claude's consistent leadership on key benchmarks such as SWE-Bench and LiveCodeBench alongside strong developer adoption for tasks like code generation and debugging. Recent model updates have reinforced its edge in handling complex, multi-file projects where competing large language models often fall short. This positioning reflects aggregated trader sentiment from real capital at risk rather than guarantees. A late-month release from OpenAI or Google demonstrating superior real-world coding performance could still shift outcomes, though such a development would need to overcome entrenched user preference and benchmark gaps quickly.
สรุปจาก AI ทดลองที่อ้างอิงข้อมูลจาก Polymarket ไม่ใช่คำแนะนำในการเทรดและไม่มีผลต่อการตัดสินตลาดนี้ · อัปเดตแล้วWhich company has the best Coding AI model end of May?
Anthropic 93.0%
OpenAI 3.0%
Google 2.6%
DeepSeek <1%
$35,566 ปริมาณ
$35,566 ปริมาณ

Anthropic
93%

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 93.0%
OpenAI 3.0%
Google 2.6%
DeepSeek <1%
$35,566 ปริมาณ
$35,566 ปริมาณ

Anthropic
93%

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.
ตลาดเปิดเมื่อ: 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 heavily favors Anthropic for the best coding AI model by end of May, driven by Claude's consistent leadership on key benchmarks such as SWE-Bench and LiveCodeBench alongside strong developer adoption for tasks like code generation and debugging. Recent model updates have reinforced its edge in handling complex, multi-file projects where competing large language models often fall short. This positioning reflects aggregated trader sentiment from real capital at risk rather than guarantees. A late-month release from OpenAI or Google demonstrating superior real-world coding performance could still shift outcomes, though such a development would need to overcome entrenched user preference and benchmark gaps quickly.
สรุปจาก AI ทดลองที่อ้างอิงข้อมูลจาก Polymarket ไม่ใช่คำแนะนำในการเทรดและไม่มีผลต่อการตัดสินตลาดนี้ · อัปเดตแล้ว
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