Anthropic leads LiveBench coding with Claude Fable 5 Max Effort at 86.0, ahead of OpenAI’s GPT-5.6 Sol at 83.9, reflecting its recent focus on agentic coding releases and strong SWE-bench results. Traders price Anthropic at 50.5% implied probability versus OpenAI’s 29.5% because frontier models from both labs continue rapid iteration, with Anthropic’s latest versions demonstrating clearer edges on LiveBench’s specific coding tasks. OpenAI’s Codex variants and upcoming updates remain competitive swing factors, while lower-priced contenders like DeepSeek or Meta trail significantly. The tight race over the next ten weeks will hinge on any new model drops or benchmark refreshes before end-of-October resolution.
Eksperimental na AI-generated summary na nire-reference ang Polymarket data. Hindi ito trading advice at wala itong papel sa kung paano nire-resolve ang market na ito. · Na-updateWhich company has the best AI model on LiveBench (Coding) end of October?
Which company has the best AI model on LiveBench (Coding) end of October?
Anthropic 52%
OpenAI 30%
DeepSeek 3.3%
Mistral 2.7%
BAGO
BAGO
Oct 31, 2026
Anthropic
52%
OpenAI
30%
DeepSeek
3%
Mistral
3%
Meta
2%
2%
Amazon
1%
Nvidia
1%
Thinky
1%
MiniMax
1%
Baidu
1%
Xiaomi
1%
Meituan
<1%
Tencent
<1%
Microsoft
<1%
StepFun
<1%
Z.ai
<1%
SpaceXAI
<1%
ByteDance
<1%
Alibaba
<1%
Moonshot
<1%
Anthropic 52%
OpenAI 30%
DeepSeek 3.3%
Mistral 2.7%
BAGO
BAGO
Oct 31, 2026
Anthropic
$3,985 Vol.
52%
OpenAI
$595 Vol.
30%
DeepSeek
$113 Vol.
3%
Mistral
$165 Vol.
3%
Meta
$161 Vol.
2%
$138 Vol.
2%
Amazon
$174 Vol.
1%
Nvidia
$179 Vol.
1%
Thinky
$179 Vol.
1%
MiniMax
$164 Vol.
1%
Baidu
$144 Vol.
1%
Xiaomi
$182 Vol.
1%
Meituan
$113 Vol.
<1%
Tencent
$134 Vol.
<1%
Microsoft
$186 Vol.
<1%
StepFun
$138 Vol.
<1%
Z.ai
$151 Vol.
<1%
SpaceXAI
$146 Vol.
<1%
ByteDance
$133 Vol.
<1%
Alibaba
$133 Vol.
<1%
Moonshot
$153 Vol.
<1%
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.”Anthropic leads LiveBench coding with Claude Fable 5 Max Effort at 86.0, ahead of OpenAI’s GPT-5.6 Sol at 83.9, reflecting its recent focus on agentic coding releases and strong SWE-bench results. Traders price Anthropic at 50.5% implied probability versus OpenAI’s 29.5% because frontier models from both labs continue rapid iteration, with Anthropic’s latest versions demonstrating clearer edges on LiveBench’s specific coding tasks. OpenAI’s Codex variants and upcoming updates remain competitive swing factors, while lower-priced contenders like DeepSeek or Meta trail significantly. The tight race over the next ten weeks will hinge on any new model drops or benchmark refreshes before end-of-October 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 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.”
Binuksan ang Market: Aug 12, 2026, 8:05 PM ET
Volume
$7,460Petsa ng Pagtatapos
Oct 31, 2026Binuksan ang Market
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.”Anthropic leads LiveBench coding with Claude Fable 5 Max Effort at 86.0, ahead of OpenAI’s GPT-5.6 Sol at 83.9, reflecting its recent focus on agentic coding releases and strong SWE-bench results. Traders price Anthropic at 50.5% implied probability versus OpenAI’s 29.5% because frontier models from both labs continue rapid iteration, with Anthropic’s latest versions demonstrating clearer edges on LiveBench’s specific coding tasks. OpenAI’s Codex variants and upcoming updates remain competitive swing factors, while lower-priced contenders like DeepSeek or Meta trail significantly. The tight race over the next ten weeks will hinge on any new model drops or benchmark refreshes before end-of-October 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 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.”
Volume
$7,460Petsa ng Pagtatapos
Oct 31, 2026Binuksan ang Market
Aug 12, 2026, 8:05 PM ETResolver
0x69c47De9D...Anthropic leads LiveBench coding with Claude Fable 5 Max Effort at 86.0, ahead of OpenAI’s GPT-5.6 Sol at 83.9, reflecting its recent focus on agentic coding releases and strong SWE-bench results. Traders price Anthropic at 50.5% implied probability versus OpenAI’s 29.5% because frontier models from both labs continue rapid iteration, with Anthropic’s latest versions demonstrating clearer edges on LiveBench’s specific coding tasks. OpenAI’s Codex variants and upcoming updates remain competitive swing factors, while lower-priced contenders like DeepSeek or Meta trail significantly. The tight race over the next ten weeks will hinge on any new model drops or benchmark refreshes before end-of-October resolution.
Eksperimental na AI-generated summary na nire-reference ang Polymarket data. Hindi ito trading advice at wala itong papel sa kung paano nire-resolve ang market na ito. · Na-update
Mag-ingat sa mga external link.
Mag-ingat sa mga external link.
Mga Madalas na Tanong