Recent OpenAI releases, including GPT-5.6 Sol posting the highest LiveBench coding subcategory score at 91.7, underpin Amazon’s narrow 51% market lead and the cluster of near-50% contenders, as traders weigh whether incremental updates or new agentic models from Anthropic, Moonshot, or open-weight labs like DeepSeek will overtake before October. Claude Fable 5 and Opus 5 variants trail only slightly in the same metric while dominating related agentic benchmarks such as SWE-bench, illustrating how LiveBench’s refreshed, contamination-free tasks reward specialized coding optimizations over general reasoning gains. With roughly ten weeks remaining, the tight spread reflects uncertainty around release cadence, training compute allocation, and potential surprise model drops that could shift the coding average by even a few points.
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 गयाNvidia 29%
MiniMax 29%
StepFun 25%
OpenAI 25%
नया
नया
31 अक्टू, 2026
Nvidia
19%
MiniMax
18%
StepFun
14%
OpenAI
25%
Xiaomi
17%
ByteDance
21%
मेटा
13%
Meituan
19%
मिस्त्राल
18%
Thinky
17%
गूगल
17%
डीपसीक
16%
अलीबाबा
15%
Tencent
14%
Baidu
12%
माइक्रोसॉफ्ट
8%
Z.ai
39%
SpaceXAI
39%
अमेज़न
41%
एंथ्रॉपिक
39%
Moonshot
37%
Nvidia 29%
MiniMax 29%
StepFun 25%
OpenAI 25%
नया
नया
31 अक्टू, 2026
Nvidia
$38 वॉल्यूम
19%
MiniMax
$33 वॉल्यूम
18%
StepFun
$38 वॉल्यूम
14%
OpenAI
$13 वॉल्यूम
25%
Xiaomi
$33 वॉल्यूम
17%
ByteDance
$33 वॉल्यूम
21%
मेटा
$33 वॉल्यूम
13%
Meituan
$13 वॉल्यूम
19%
मिस्त्राल
$13 वॉल्यूम
18%
Thinky
$33 वॉल्यूम
17%
गूगल
$13 वॉल्यूम
17%
डीपसीक
$13 वॉल्यूम
16%
अलीबाबा
$33 वॉल्यूम
15%
Tencent
$33 वॉल्यूम
14%
Baidu
$44 वॉल्यूम
12%
माइक्रोसॉफ्ट
$53 वॉल्यूम
8%
Z.ai
$38 वॉल्यूम
39%
SpaceXAI
$33 वॉल्यूम
39%
अमेज़न
$46 वॉल्यूम
41%
एंथ्रॉपिक
$46 वॉल्यूम
39%
Moonshot
$33 वॉल्यूम
37%
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 October 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.”Recent OpenAI releases, including GPT-5.6 Sol posting the highest LiveBench coding subcategory score at 91.7, underpin Amazon’s narrow 51% market lead and the cluster of near-50% contenders, as traders weigh whether incremental updates or new agentic models from Anthropic, Moonshot, or open-weight labs like DeepSeek will overtake before October. Claude Fable 5 and Opus 5 variants trail only slightly in the same metric while dominating related agentic benchmarks such as SWE-bench, illustrating how LiveBench’s refreshed, contamination-free tasks reward specialized coding optimizations over general reasoning gains. With roughly ten weeks remaining, the tight spread reflects uncertainty around release cadence, training compute allocation, and potential surprise model drops that could shift the coding average by even a few points.
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 October 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: Aug 12, 2026, 8:05 PM ET
वॉल्यूम
$655समाप्ति तिथि
31 अक्टू, 2026बाज़ार खुला
Aug 12, 2026, 8:05 PM ETResolver
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 October 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.”Recent OpenAI releases, including GPT-5.6 Sol posting the highest LiveBench coding subcategory score at 91.7, underpin Amazon’s narrow 51% market lead and the cluster of near-50% contenders, as traders weigh whether incremental updates or new agentic models from Anthropic, Moonshot, or open-weight labs like DeepSeek will overtake before October. Claude Fable 5 and Opus 5 variants trail only slightly in the same metric while dominating related agentic benchmarks such as SWE-bench, illustrating how LiveBench’s refreshed, contamination-free tasks reward specialized coding optimizations over general reasoning gains. With roughly ten weeks remaining, the tight spread reflects uncertainty around release cadence, training compute allocation, and potential surprise model drops that could shift the coding average by even a few points.
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 October 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
$655समाप्ति तिथि
31 अक्टू, 2026बाज़ार खुला
Aug 12, 2026, 8:05 PM ETResolver
0x69c47De9D...Recent OpenAI releases, including GPT-5.6 Sol posting the highest LiveBench coding subcategory score at 91.7, underpin Amazon’s narrow 51% market lead and the cluster of near-50% contenders, as traders weigh whether incremental updates or new agentic models from Anthropic, Moonshot, or open-weight labs like DeepSeek will overtake before October. Claude Fable 5 and Opus 5 variants trail only slightly in the same metric while dominating related agentic benchmarks such as SWE-bench, illustrating how LiveBench’s refreshed, contamination-free tasks reward specialized coding optimizations over general reasoning gains. With roughly ten weeks remaining, the tight spread reflects uncertainty around release cadence, training compute allocation, and potential surprise model drops that could shift the coding average by even a few points.
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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