Anthropic holds the strongest trader consensus at 60.5% implied probability, driven by Claude Fable 5 and Mythos 5 releases in mid-2026 that have posted leading or near-leading scores on LiveBench Coding and related agentic benchmarks such as SWE-bench Verified. These models demonstrate sustained advantages in long-context code generation, debugging, and tool-use tasks that align closely with LiveBench’s refreshed, contamination-free evaluation. OpenAI’s GPT-5.6 Sol, released in July, trails at 29% despite strong SWE-bench results, reflecting a narrower perceived edge on LiveBench’s specific task mix. Lower-odds contenders including Google, Meta, and open-weight labs trail due to fewer recent competitive updates. The next two months of potential model iterations before the October resolution remain the key swing factor.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日Anthropic 61%
OpenAI 29%
Xiaomi 8.7%
Meta 3.4%

Anthropic
61%

OpenAI
29%

Xiaomi
9%

Meta
3%

DeepSeek
3%

Nvidia
3%

Mistral
3%

Thinky
2%

MiniMax
2%

2%

Baidu
1%

Amazon
1%

Meituan
<1%

テンセント
<1%

マイクロソフト
<1%

StepFun
<1%

Z.ai
<1%

SpaceXAI
<1%

バイトダンス
<1%

アリババ
<1%

Moonshot
<1%
Anthropic 61%
OpenAI 29%
Xiaomi 8.7%
Meta 3.4%

Anthropic
61%

OpenAI
29%

Xiaomi
9%

Meta
3%

DeepSeek
3%

Nvidia
3%

Mistral
3%

Thinky
2%

MiniMax
2%

2%

Baidu
1%

Amazon
1%

Meituan
<1%

テンセント
<1%

マイクロソフト
<1%

StepFun
<1%

Z.ai
<1%

SpaceXAI
<1%

バイトダンス
<1%

アリババ
<1%

Moonshot
<1%
Results from the “Coding” column of the leaderboard at https://livebench.ai/#/?cats=Coding, with the latest available LiveBench release selected and the category set to “Coding,” will be used to resolve this market.
Models will be ranked according to the specified score, with higher scores ranked ahead of lower scores. If two or more models have exactly the same score as displayed on the leaderboard, the model with the lower listed "cost per successful task" will be ranked ahead. 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 score and cost per successful task, “Google” would be ranked ahead of “SpaceXAI”). This market will resolve based on the company that occupies first place under this ranking.
The resolution source for this market is the LiveBench 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.”
マーケット開始日: Aug 12, 2026, 8:05 PM ET
Resolver
0x69c47De9D...Results from the “Coding” column of the leaderboard at https://livebench.ai/#/?cats=Coding, with the latest available LiveBench release selected and the category set to “Coding,” will be used to resolve this market.
Models will be ranked according to the specified score, with higher scores ranked ahead of lower scores. If two or more models have exactly the same score as displayed on the leaderboard, the model with the lower listed "cost per successful task" will be ranked ahead. 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 score and cost per successful task, “Google” would be ranked ahead of “SpaceXAI”). This market will resolve based on the company that occupies first place under this ranking.
The resolution source for this market is the LiveBench 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.”
Resolver
0x69c47De9D...Anthropic holds the strongest trader consensus at 60.5% implied probability, driven by Claude Fable 5 and Mythos 5 releases in mid-2026 that have posted leading or near-leading scores on LiveBench Coding and related agentic benchmarks such as SWE-bench Verified. These models demonstrate sustained advantages in long-context code generation, debugging, and tool-use tasks that align closely with LiveBench’s refreshed, contamination-free evaluation. OpenAI’s GPT-5.6 Sol, released in July, trails at 29% despite strong SWE-bench results, reflecting a narrower perceived edge on LiveBench’s specific task mix. Lower-odds contenders including Google, Meta, and open-weight labs trail due to fewer recent competitive updates. The next two months of potential model iterations before the October resolution remain the key swing factor.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日
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