**Trader consensus on the third-best Text Arena Math AI lab by late November reflects intense competition among frontier labs, with Microsoft, Google, Amazon, Mistral, and others priced in the low-to-mid teens to low twenties amid many near-even options.** Anthropic currently leads math-category Elo on arena.ai leaderboards with models such as Claude Fable 5 and Opus 4 variants, but rapid releases from Google (Gemini 3 flash/high), Meta (Muse Spark), Z.ai (GLM-5 series), Moonshot (Kimi), Alibaba (Qwen), and OpenAI continue narrowing gaps in large language model reasoning benchmarks like AIME and MATH. Open-weight and cost-efficient Chinese models have gained arena votes through strong demonstrated capabilities, while Western labs emphasize proprietary scaling and safety-tuned reasoning. With only weeks until resolution and frequent model updates, sentiment hinges on upcoming developer conferences, benchmark saturations, and any late-cycle releases that could reorder the middle of the pack.
基於Polymarket數據的AI實驗性摘要。這不是交易建議,也不影響該市場的結算方式。 · 更新於OpenAI 21%
微軟 21%
美團 18%
Nvidia 16%

OpenAI
21%

微軟
21%

美團
18%

Nvidia
16%

Z.ai
15%

Moonshot
15%

Meta
15%

Anthropic
14%

字節跳動
14%

SpaceXAI
14%

騰訊
14%

亞馬遜
14%

Mistral
14%

StepFun
14%

14%

DeepSeek
14%

Thinky
13%

阿里巴巴
12%

小米
12%

百度
11%

MiniMax
10%
OpenAI 21%
微軟 21%
美團 18%
Nvidia 16%

OpenAI
21%

微軟
21%

美團
18%

Nvidia
16%

Z.ai
15%

Moonshot
15%

Meta
15%

Anthropic
14%

字節跳動
14%

SpaceXAI
14%

騰訊
14%

亞馬遜
14%

Mistral
14%

StepFun
14%

14%

DeepSeek
14%

Thinky
13%

阿里巴巴
12%

小米
12%

百度
11%

MiniMax
10%
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".
市場開放時間: Sep 17, 2026, 8:05 PM ET
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".
**Trader consensus on the third-best Text Arena Math AI lab by late November reflects intense competition among frontier labs, with Microsoft, Google, Amazon, Mistral, and others priced in the low-to-mid teens to low twenties amid many near-even options.** Anthropic currently leads math-category Elo on arena.ai leaderboards with models such as Claude Fable 5 and Opus 4 variants, but rapid releases from Google (Gemini 3 flash/high), Meta (Muse Spark), Z.ai (GLM-5 series), Moonshot (Kimi), Alibaba (Qwen), and OpenAI continue narrowing gaps in large language model reasoning benchmarks like AIME and MATH. Open-weight and cost-efficient Chinese models have gained arena votes through strong demonstrated capabilities, while Western labs emphasize proprietary scaling and safety-tuned reasoning. With only weeks until resolution and frequent model updates, sentiment hinges on upcoming developer conferences, benchmark saturations, and any late-cycle releases that could reorder the middle of the pack.
基於Polymarket數據的AI實驗性摘要。這不是交易建議,也不影響該市場的結算方式。 · 更新於
警惕外部連結哦。
警惕外部連結哦。
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