Anthropic holds the strongest trader consensus at 67.5% implied probability for the top LiveBench coding score by end of August, driven by the consistent edge of its Claude Fable 5 and Opus 4.x series on agentic coding tasks and contamination-resistant benchmarks like SWE-Bench variants. Recent July releases, including OpenAI’s GPT-5.6 Sol reaching general availability on July 9 and Moonshot’s Kimi K3 on July 16, have narrowed gaps on some leaderboards but have not displaced Anthropic’s positioning on LiveBench specifically. OpenAI sits at 33.5% while Moonshot and other Chinese labs trail near 30%, reflecting trader caution around rapid iteration cycles and the benchmark’s monthly refresh of fresh coding problems. Key upcoming catalysts include any late-July or August model updates that could shift relative rankings before resolution.
Polymarket डेटा का संदर्भ देने वाला प्रयोगात्मक AI-जनरेटेड सारांश। यह ट्रेडिंग सलाह नहीं है और इस बाज़ार के समाधान में कोई भूमिका नहीं निभाता। · अपडेट किया गयाAnthropic 62%
Mistral 44%
Meituan 44%
StepFun 34%
नया
नया
31 अग, 2026
Anthropic
61%
Mistral
44%
Meituan
44%
StepFun
34%
Amazon
33%
OpenAI
33%
MiniMax
30%
Microsoft
30%
Moonshot
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%
StepFun 34%
नया
नया
31 अग, 2026
Anthropic
$57 वॉल्यूम
61%
Mistral
$45 वॉल्यूम
44%
Meituan
$82 वॉल्यूम
44%
StepFun
$52 वॉल्यूम
34%
Amazon
$70 वॉल्यूम
33%
OpenAI
$55 वॉल्यूम
33%
MiniMax
$74 वॉल्यूम
30%
Microsoft
$70 वॉल्यूम
30%
Moonshot
$28 वॉल्यूम
30%
Alibaba
$28 वॉल्यूम
29%
Thinky
$65 वॉल्यूम
18%
Nvidia
$98 वॉल्यूम
16%
DeepSeek
$92 वॉल्यूम
3%
Xiaomi
$110 वॉल्यूम
18%
Z.ai
$20 वॉल्यूम
2%
SpaceXAI
$20 वॉल्यूम
2%
ByteDance
$20 वॉल्यूम
2%
Baidu
$20 वॉल्यूम
2%
Meta
$20 वॉल्यूम
2%
$20 वॉल्यूम
2%
Tencent
$46 वॉल्यूम
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 holds the strongest trader consensus at 67.5% implied probability for the top LiveBench coding score by end of August, driven by the consistent edge of its Claude Fable 5 and Opus 4.x series on agentic coding tasks and contamination-resistant benchmarks like SWE-Bench variants. Recent July releases, including OpenAI’s GPT-5.6 Sol reaching general availability on July 9 and Moonshot’s Kimi K3 on July 16, have narrowed gaps on some leaderboards but have not displaced Anthropic’s positioning on LiveBench specifically. OpenAI sits at 33.5% while Moonshot and other Chinese labs trail near 30%, reflecting trader caution around rapid iteration cycles and the benchmark’s monthly refresh of fresh coding problems. Key upcoming catalysts include any late-July or August model updates that could shift relative rankings before resolution.
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.”
बाज़ार खुला: Jul 29, 2026, 6:27 PM ET
वॉल्यूम
$1,092समाप्ति तिथि
31 अग, 2026बाज़ार खुला
Jul 29, 2026, 6:27 PM ETसमाधान स्रोत
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 holds the strongest trader consensus at 67.5% implied probability for the top LiveBench coding score by end of August, driven by the consistent edge of its Claude Fable 5 and Opus 4.x series on agentic coding tasks and contamination-resistant benchmarks like SWE-Bench variants. Recent July releases, including OpenAI’s GPT-5.6 Sol reaching general availability on July 9 and Moonshot’s Kimi K3 on July 16, have narrowed gaps on some leaderboards but have not displaced Anthropic’s positioning on LiveBench specifically. OpenAI sits at 33.5% while Moonshot and other Chinese labs trail near 30%, reflecting trader caution around rapid iteration cycles and the benchmark’s monthly refresh of fresh coding problems. Key upcoming catalysts include any late-July or August model updates that could shift relative rankings before resolution.
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.”
वॉल्यूम
$1,092समाप्ति तिथि
31 अग, 2026बाज़ार खुला
Jul 29, 2026, 6:27 PM ETसमाधान स्रोत
https://livebench.ai/#/?cats=CodingResolver
0x69c47De9D...Anthropic holds the strongest trader consensus at 67.5% implied probability for the top LiveBench coding score by end of August, driven by the consistent edge of its Claude Fable 5 and Opus 4.x series on agentic coding tasks and contamination-resistant benchmarks like SWE-Bench variants. Recent July releases, including OpenAI’s GPT-5.6 Sol reaching general availability on July 9 and Moonshot’s Kimi K3 on July 16, have narrowed gaps on some leaderboards but have not displaced Anthropic’s positioning on LiveBench specifically. OpenAI sits at 33.5% while Moonshot and other Chinese labs trail near 30%, reflecting trader caution around rapid iteration cycles and the benchmark’s monthly refresh of fresh coding problems. Key upcoming catalysts include any late-July or August model updates that could shift relative rankings before resolution.
Polymarket डेटा का संदर्भ देने वाला प्रयोगात्मक AI-जनरेटेड सारांश। यह ट्रेडिंग सलाह नहीं है और इस बाज़ार के समाधान में कोई भूमिका नहीं निभाता। · अपडेट किया गया
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