Alibaba leads trader sentiment for third place in Text Arena Math by end-October 2026 due to strong recent Qwen3-Max and Qwen3.8 Max results on uncontaminated math benchmarks like AIME and HMMT, where its models have posted perfect or near-perfect scores alongside competitive pricing and rapid iteration. Google follows closely on Gemini 3.7 updates and consistent Arena Elo clustering with frontier labs, while OpenAI trails on GPT-5.6 Sol releases that dominate some reasoning boards but face questions on verified math-specific gains. Moonshot’s Kimi K3 and other Chinese labs add pressure through open-weight math performance. With outcomes tightly bunched at 12–30% implied probability, traders focus on whether any lab ships a decisive post-training or benchmark update before resolution.
Експериментальне резюме, згенероване ШІ з посиланням на дані Polymarket. Це не торгова порада і не впливає на вирішення цього ринку. · ОновленоThird-best Text Arena Math AI Lab end of October?
Alibaba 30%
Google 21%
Moonshot 20%
OpenAI 16%

Alibaba
30%

21%

Moonshot
14%

OpenAI
16%

Meituan
10%

Z.ai
6%

Baidu
5%

Anthropic
5%

MiniMax
4%

Bytedance
4%

Nvidia
3%

Mistral
3%

StepFun
1%

Xiaomi
1%

SpaceXAI
1%

Tencent
1%

Amazon
1%

Meta
11%

DeepSeek
<1%

Microsoft
<1%
Alibaba 30%
Google 21%
Moonshot 20%
OpenAI 16%

Alibaba
30%

21%

Moonshot
14%

OpenAI
16%

Meituan
10%

Z.ai
6%

Baidu
5%

Anthropic
5%

MiniMax
4%

Bytedance
4%

Nvidia
3%

Mistral
3%

StepFun
1%

Xiaomi
1%

SpaceXAI
1%

Tencent
1%

Amazon
1%

Meta
11%

DeepSeek
<1%

Microsoft
<1%
Results from the "Lab Rank" column under the "Text Arena | Math" Leaderboard tab at https://arena.ai/leaderboard/text/math-no-style-control?rankBy=labs with style control off (Adjustments: None) and filtered for "Labs" will be used to resolve this market.
Note: Models marked “AutoEval” at the applicable check time will not be considered, regardless of whether they display a rank or score.
AI companies will be ordered primarily by their Lab Rank at the market’s check time. If the results based on the lab ranking are ambiguous or unavailable, the relevant AI companies will be ordered according to their highest-ranking AI model in the leaderboard’s “Models” view. If two or more models are tied on rank, they will be ordered by their Arena score, including any underlying, unrounded, granular values reflected in the data below the leaderboard. If a tie still remains, alphabetical order of AI lab/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 arena score, “Google” would be ranked ahead of “SpaceXAI”). This market will resolve based on the company that occupies third place under this ranking.
The resolution source for this market is the arena.ai Text Arena (Math). 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".
Ринок відкрито: Aug 12, 2026, 7:54 PM ET
Resolver
0x69c47De9D...Results from the "Lab Rank" column under the "Text Arena | Math" Leaderboard tab at https://arena.ai/leaderboard/text/math-no-style-control?rankBy=labs with style control off (Adjustments: None) and filtered for "Labs" will be used to resolve this market.
Note: Models marked “AutoEval” at the applicable check time will not be considered, regardless of whether they display a rank or score.
AI companies will be ordered primarily by their Lab Rank at the market’s check time. If the results based on the lab ranking are ambiguous or unavailable, the relevant AI companies will be ordered according to their highest-ranking AI model in the leaderboard’s “Models” view. If two or more models are tied on rank, they will be ordered by their Arena score, including any underlying, unrounded, granular values reflected in the data below the leaderboard. If a tie still remains, alphabetical order of AI lab/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 arena score, “Google” would be ranked ahead of “SpaceXAI”). This market will resolve based on the company that occupies third place under this ranking.
The resolution source for this market is the arena.ai Text Arena (Math). 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...Alibaba leads trader sentiment for third place in Text Arena Math by end-October 2026 due to strong recent Qwen3-Max and Qwen3.8 Max results on uncontaminated math benchmarks like AIME and HMMT, where its models have posted perfect or near-perfect scores alongside competitive pricing and rapid iteration. Google follows closely on Gemini 3.7 updates and consistent Arena Elo clustering with frontier labs, while OpenAI trails on GPT-5.6 Sol releases that dominate some reasoning boards but face questions on verified math-specific gains. Moonshot’s Kimi K3 and other Chinese labs add pressure through open-weight math performance. With outcomes tightly bunched at 12–30% implied probability, traders focus on whether any lab ships a decisive post-training or benchmark update before resolution.
Експериментальне резюме, згенероване ШІ з посиланням на дані Polymarket. Це не торгова порада і не впливає на вирішення цього ринку. · Оновлено
Обережно з зовнішніми посиланнями.
Обережно з зовнішніми посиланнями.
Часті запитання