Recent model releases from Anthropic (Claude Fable 5 and Opus 5 variants) and OpenAI (GPT-5.6 series) have driven strong math performance on LiveBench through enhanced reasoning chains and test-time compute, yet the 50% implied probabilities across multiple labs reflect ongoing parity. Chinese developers including Moonshot (Kimi), Z.ai (GLM), and DeepSeek maintain competitive edges via specialized math training data and efficient scaling, while Google Gemini and Meta models trail slightly in current snapshots. Key differentiators include benchmark contamination resistance, high-effort inference modes, and rapid iteration cycles ahead of the October refresh. Traders weigh upcoming releases, fine-tunes, and category-specific gains in LiveBench Mathematics as swing factors in this crowded field.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · DiperbaruiWhich company has the best AI model on LiveBench (Mathematics) end of October?
MiniMax 48%
Baidu 41%
Anthropic 40%
Amazon 38%

MiniMax
48%

Baidu
41%

Anthropic
40%

Amazon
38%

Alibaba
38%

Moonshot
37%

Meta
37%

Z.ai
37%

Microsoft
36%

OpenAI
33%

StepFun
32%

Thinky
32%

Nvidia
31%

ByteDance
30%

Mistral
29%

DeepSeek
24%

SpaceXAI
23%

Tencent
23%

24%

Xiaomi
39%

Meituan
-
MiniMax 48%
Baidu 41%
Anthropic 40%
Amazon 38%

MiniMax
48%

Baidu
41%

Anthropic
40%

Amazon
38%

Alibaba
38%

Moonshot
37%

Meta
37%

Z.ai
37%

Microsoft
36%

OpenAI
33%

StepFun
32%

Thinky
32%

Nvidia
31%

ByteDance
30%

Mistral
29%

DeepSeek
24%

SpaceXAI
23%

Tencent
23%

24%

Xiaomi
39%

Meituan
-
Results from the “Mathematics” column of the leaderboard at https://livebench.ai/#/?cats=Mathematics, with the latest available LiveBench release selected and the category set to “Mathematics,” 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.”
Pasar Dibuka: Aug 12, 2026, 8:04 PM ET
Resolver
0x69c47De9D...Results from the “Mathematics” column of the leaderboard at https://livebench.ai/#/?cats=Mathematics, with the latest available LiveBench release selected and the category set to “Mathematics,” 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...Recent model releases from Anthropic (Claude Fable 5 and Opus 5 variants) and OpenAI (GPT-5.6 series) have driven strong math performance on LiveBench through enhanced reasoning chains and test-time compute, yet the 50% implied probabilities across multiple labs reflect ongoing parity. Chinese developers including Moonshot (Kimi), Z.ai (GLM), and DeepSeek maintain competitive edges via specialized math training data and efficient scaling, while Google Gemini and Meta models trail slightly in current snapshots. Key differentiators include benchmark contamination resistance, high-effort inference modes, and rapid iteration cycles ahead of the October refresh. Traders weigh upcoming releases, fine-tunes, and category-specific gains in LiveBench Mathematics as swing factors in this crowded field.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · Diperbarui
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