Anthropic leads trader sentiment at 60% implied probability due to its Claude Fable 5 and Opus 5 variants posting the highest LiveBench coding scores, including 86.0 on the coding column and strong showings on related agentic and reasoning tasks. Recent July releases and API restores have reinforced this edge over OpenAI’s GPT-5.6 Sol, which trails slightly on the exact LiveBench metric despite competitive SWE-bench results. Lower odds for Moonshot, MiniMax, and DeepSeek reflect their solid but non-leading performance on contamination-free coding benchmarks, while Google, Meta, and others sit near 2% amid weaker recent coding-specific updates. With resolution at month-end, any final leaderboard refresh or new model drop could still shift the narrow gap between the top two labs.
สรุปจาก AI ทดลองที่อ้างอิงข้อมูลจาก Polymarket ไม่ใช่คำแนะนำในการเทรดและไม่มีผลต่อการตัดสินตลาดนี้ · อัปเดตแล้วAnthropic 62%
Mistral 44%
Meituan 44%
Moonshot 35%
ใหม่
ใหม่
Aug 31, 2026
Anthropic
60%
Mistral
44%
Meituan
44%
Moonshot
35%
StepFun
34%
Amazon
33%
OpenAI
33%
MiniMax
32%
Microsoft
30%
Alibaba
29%
Thinky
18%
Nvidia
16%
DeepSeek
3%
Xiaomi
18%
Z.ai
2%
SpaceXAI
2%
ByteDance
2%
Baidu
2%
Meta
2%
2%
Tencent
18%
Anthropic 62%
Mistral 44%
Meituan 44%
Moonshot 35%
ใหม่
ใหม่
Aug 31, 2026
Anthropic
$57 ปริมาณ
60%
Mistral
$45 ปริมาณ
44%
Meituan
$82 ปริมาณ
44%
Moonshot
$28 ปริมาณ
35%
StepFun
$52 ปริมาณ
34%
Amazon
$70 ปริมาณ
33%
OpenAI
$55 ปริมาณ
33%
MiniMax
$74 ปริมาณ
32%
Microsoft
$70 ปริมาณ
30%
Alibaba
$28 ปริมาณ
29%
Thinky
$65 ปริมาณ
18%
Nvidia
$98 ปริมาณ
16%
DeepSeek
$92 ปริมาณ
3%
Xiaomi
$110 ปริมาณ
18%
Z.ai
$20 ปริมาณ
2%
SpaceXAI
$20 ปริมาณ
2%
ByteDance
$20 ปริมาณ
2%
Baidu
$20 ปริมาณ
2%
Meta
$20 ปริมาณ
2%
$20 ปริมาณ
2%
Tencent
$46 ปริมาณ
18%
This market will resolve according to the company which owns the model with the highest Coding score on LiveBench.ai when the leaderboard is checked on August 31, 2026, at 12:00 PM ET.
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.”Anthropic leads trader sentiment at 60% implied probability due to its Claude Fable 5 and Opus 5 variants posting the highest LiveBench coding scores, including 86.0 on the coding column and strong showings on related agentic and reasoning tasks. Recent July releases and API restores have reinforced this edge over OpenAI’s GPT-5.6 Sol, which trails slightly on the exact LiveBench metric despite competitive SWE-bench results. Lower odds for Moonshot, MiniMax, and DeepSeek reflect their solid but non-leading performance on contamination-free coding benchmarks, while Google, Meta, and others sit near 2% amid weaker recent coding-specific updates. With resolution at month-end, any final leaderboard refresh or new model drop could still shift the narrow gap between the top two labs.
This market will resolve according to the company which owns the model with the highest Coding score on LiveBench.ai when the leaderboard is checked on August 31, 2026, at 12:00 PM ET.
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.”
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.”
ตลาดเปิดเมื่อ: Jul 29, 2026, 6:27 PM ET
ปริมาณการซื้อขาย
$1,092วันสิ้นสุด
Aug 31, 2026ตลาดเปิดเมื่อ
Jul 29, 2026, 6:27 PM ETแหล่งข้อมูลการตัดสินผล
https://livebench.ai/#/?cats=CodingResolver
0x69c47De9D...This market will resolve according to the company which owns the model with the highest Coding score on LiveBench.ai when the leaderboard is checked on August 31, 2026, at 12:00 PM ET.
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.”Anthropic leads trader sentiment at 60% implied probability due to its Claude Fable 5 and Opus 5 variants posting the highest LiveBench coding scores, including 86.0 on the coding column and strong showings on related agentic and reasoning tasks. Recent July releases and API restores have reinforced this edge over OpenAI’s GPT-5.6 Sol, which trails slightly on the exact LiveBench metric despite competitive SWE-bench results. Lower odds for Moonshot, MiniMax, and DeepSeek reflect their solid but non-leading performance on contamination-free coding benchmarks, while Google, Meta, and others sit near 2% amid weaker recent coding-specific updates. With resolution at month-end, any final leaderboard refresh or new model drop could still shift the narrow gap between the top two labs.
This market will resolve according to the company which owns the model with the highest Coding score on LiveBench.ai when the leaderboard is checked on August 31, 2026, at 12:00 PM ET.
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.”
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.”
ปริมาณการซื้อขาย
$1,092วันสิ้นสุด
Aug 31, 2026ตลาดเปิดเมื่อ
Jul 29, 2026, 6:27 PM ETแหล่งข้อมูลการตัดสินผล
https://livebench.ai/#/?cats=CodingResolver
0x69c47De9D...Anthropic leads trader sentiment at 60% implied probability due to its Claude Fable 5 and Opus 5 variants posting the highest LiveBench coding scores, including 86.0 on the coding column and strong showings on related agentic and reasoning tasks. Recent July releases and API restores have reinforced this edge over OpenAI’s GPT-5.6 Sol, which trails slightly on the exact LiveBench metric despite competitive SWE-bench results. Lower odds for Moonshot, MiniMax, and DeepSeek reflect their solid but non-leading performance on contamination-free coding benchmarks, while Google, Meta, and others sit near 2% amid weaker recent coding-specific updates. With resolution at month-end, any final leaderboard refresh or new model drop could still shift the narrow gap between the top two labs.
สรุปจาก AI ทดลองที่อ้างอิงข้อมูลจาก Polymarket ไม่ใช่คำแนะนำในการเทรดและไม่มีผลต่อการตัดสินตลาดนี้ · อัปเดตแล้ว
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