**Google holds a clear lead in trader sentiment for the best math AI model by end of June 2026, priced at 62.5% implied probability.** This reflects its recent edge on key mathematical reasoning benchmarks such as MATH (where Gemini 3.1 Pro variants have posted scores near 95%) and strong showings on AIME-style and competition-level problems, bolstered by extended “Deep Think” or test-time compute modes that enhance step-by-step reasoning. Anthropic (19.5%) and OpenAI (12.5%) trail due to competitive but slightly lower performance on pure math leaderboards relative to Google’s latest releases, despite their strengths in related areas like GPQA science reasoning or FrontierMath abstract problem-solving. Google’s DeepMind lineage in formal math systems (AlphaProof-style advances) and recent model updates emphasizing multimodal and long-horizon reasoning have reinforced its positioning among traders. The short timeline to month-end limits major new releases, so current benchmark leadership and demonstrated capability on hard problems remain the dominant drivers. Lower-priced contenders like Alibaba or Moonshot sit below 1% as their models trail frontier math scores. Traders view Google’s consistent recent gains as the decisive factor while acknowledging that rapid updates from any lab could still shift outcomes.
Riepilogo sperimentale generato dall'AI con riferimento ai dati di Polymarket. Questo non è un consiglio di trading e non ha alcun ruolo nella risoluzione di questo mercato. · AggiornatoWhich company has the best Math AI model end of June?
Which company has the best Math AI model end of June?
Google 63%
Anthropic 20%
OpenAI 13%
Z.ai <1%
$219,104 Vol.
$219,104 Vol.
30 giu 2026
63%
Anthropic
20%
OpenAI
13%
Z.ai
1%
Alibaba
1%
Moonshot
1%
xAI
<1%
ByteDance
<1%
Amazon
<1%
Meta
<1%
Baidu
<1%
DeepSeek
<1%
Microsoft
<1%
Mistral
<1%
Meituan
<1%
Google 63%
Anthropic 20%
OpenAI 13%
Z.ai <1%
$219,104 Vol.
$219,104 Vol.
30 giu 2026
$36,754 Vol.
63%
Anthropic
$63,575 Vol.
20%
OpenAI
$23,903 Vol.
13%
Z.ai
$15,045 Vol.
1%
Alibaba
$14,640 Vol.
1%
Moonshot
$12,932 Vol.
1%
xAI
$14,650 Vol.
<1%
ByteDance
$6,400 Vol.
<1%
Amazon
$2,346 Vol.
<1%
Meta
$5,734 Vol.
<1%
Baidu
$2,769 Vol.
<1%
DeepSeek
$9,130 Vol.
<1%
Microsoft
$3,097 Vol.
<1%
Mistral
$4,617 Vol.
<1%
Meituan
$3,512 Vol.
<1%
This market will resolve according to the company that owns the model that has the highest arena rank based on the Chatbot Arena LLM Leaderboard (https://lmarena.ai/) when the table under the "Leaderboard" tab for "Math" is checked on June 30, 2026, 12:00 PM ET.
Results from the "Rank" column under the "Text Arena | Math" Leaderboard tab at https://arena.ai/leaderboard/text/math-no-style-control with style control off will be used to resolve this market.
Models will be ordered primarily by their leaderboard rank at the market’s check time. 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 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 “xAI”). This market will resolve based on the company that occupies first place under this ranking.
The resolution source for this market is the Chatbot Arena LLM Leaderboard found at https://lmarena.ai/. 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 based on another resolution source.**Google holds a clear lead in trader sentiment for the best math AI model by end of June 2026, priced at 62.5% implied probability.** This reflects its recent edge on key mathematical reasoning benchmarks such as MATH (where Gemini 3.1 Pro variants have posted scores near 95%) and strong showings on AIME-style and competition-level problems, bolstered by extended “Deep Think” or test-time compute modes that enhance step-by-step reasoning.
Anthropic (19.5%) and OpenAI (12.5%) trail due to competitive but slightly lower performance on pure math leaderboards relative to Google’s latest releases, despite their strengths in related areas like GPQA science reasoning or FrontierMath abstract problem-solving. Google’s DeepMind lineage in formal math systems (AlphaProof-style advances) and recent model updates emphasizing multimodal and long-horizon reasoning have reinforced its positioning among traders.
The short timeline to month-end limits major new releases, so current benchmark leadership and demonstrated capability on hard problems remain the dominant drivers. Lower-priced contenders like Alibaba or Moonshot sit below 1% as their models trail frontier math scores. Traders view Google’s consistent recent gains as the decisive factor while acknowledging that rapid updates from any lab could still shift outcomes.
This market will resolve according to the company that owns the model that has the highest arena rank based on the Chatbot Arena LLM Leaderboard (https://lmarena.ai/) when the table under the "Leaderboard" tab for "Math" is checked on June 30, 2026, 12:00 PM ET.
Results from the "Rank" column under the "Text Arena | Math" Leaderboard tab at https://arena.ai/leaderboard/text/math-no-style-control with style control off will be used to resolve this market.
Models will be ordered primarily by their leaderboard rank at the market’s check time. 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 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 “xAI”). This market will resolve based on the company that occupies first place under this ranking.
The resolution source for this market is the Chatbot Arena LLM Leaderboard found at https://lmarena.ai/. 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 based on another resolution source.
Results from the "Rank" column under the "Text Arena | Math" Leaderboard tab at https://arena.ai/leaderboard/text/math-no-style-control with style control off will be used to resolve this market.
Models will be ordered primarily by their leaderboard rank at the market’s check time. 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 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 “xAI”). This market will resolve based on the company that occupies first place under this ranking.
The resolution source for this market is the Chatbot Arena LLM Leaderboard found at https://lmarena.ai/. 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 based on another resolution source.
Mercato aperto: May 26, 2026, 6:36 PM ET
Volume
$219,104Data di fine
30 giu 2026Mercato aperto
May 26, 2026, 6:36 PM ETResolver
0x69c47De9D...This market will resolve according to the company that owns the model that has the highest arena rank based on the Chatbot Arena LLM Leaderboard (https://lmarena.ai/) when the table under the "Leaderboard" tab for "Math" is checked on June 30, 2026, 12:00 PM ET.
Results from the "Rank" column under the "Text Arena | Math" Leaderboard tab at https://arena.ai/leaderboard/text/math-no-style-control with style control off will be used to resolve this market.
Models will be ordered primarily by their leaderboard rank at the market’s check time. 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 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 “xAI”). This market will resolve based on the company that occupies first place under this ranking.
The resolution source for this market is the Chatbot Arena LLM Leaderboard found at https://lmarena.ai/. 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 based on another resolution source.**Google holds a clear lead in trader sentiment for the best math AI model by end of June 2026, priced at 62.5% implied probability.** This reflects its recent edge on key mathematical reasoning benchmarks such as MATH (where Gemini 3.1 Pro variants have posted scores near 95%) and strong showings on AIME-style and competition-level problems, bolstered by extended “Deep Think” or test-time compute modes that enhance step-by-step reasoning.
Anthropic (19.5%) and OpenAI (12.5%) trail due to competitive but slightly lower performance on pure math leaderboards relative to Google’s latest releases, despite their strengths in related areas like GPQA science reasoning or FrontierMath abstract problem-solving. Google’s DeepMind lineage in formal math systems (AlphaProof-style advances) and recent model updates emphasizing multimodal and long-horizon reasoning have reinforced its positioning among traders.
The short timeline to month-end limits major new releases, so current benchmark leadership and demonstrated capability on hard problems remain the dominant drivers. Lower-priced contenders like Alibaba or Moonshot sit below 1% as their models trail frontier math scores. Traders view Google’s consistent recent gains as the decisive factor while acknowledging that rapid updates from any lab could still shift outcomes.
This market will resolve according to the company that owns the model that has the highest arena rank based on the Chatbot Arena LLM Leaderboard (https://lmarena.ai/) when the table under the "Leaderboard" tab for "Math" is checked on June 30, 2026, 12:00 PM ET.
Results from the "Rank" column under the "Text Arena | Math" Leaderboard tab at https://arena.ai/leaderboard/text/math-no-style-control with style control off will be used to resolve this market.
Models will be ordered primarily by their leaderboard rank at the market’s check time. 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 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 “xAI”). This market will resolve based on the company that occupies first place under this ranking.
The resolution source for this market is the Chatbot Arena LLM Leaderboard found at https://lmarena.ai/. 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 based on another resolution source.
Results from the "Rank" column under the "Text Arena | Math" Leaderboard tab at https://arena.ai/leaderboard/text/math-no-style-control with style control off will be used to resolve this market.
Models will be ordered primarily by their leaderboard rank at the market’s check time. 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 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 “xAI”). This market will resolve based on the company that occupies first place under this ranking.
The resolution source for this market is the Chatbot Arena LLM Leaderboard found at https://lmarena.ai/. 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 based on another resolution source.
Volume
$219,104Data di fine
30 giu 2026Mercato aperto
May 26, 2026, 6:36 PM ETResolver
0x69c47De9D...**Google holds a clear lead in trader sentiment for the best math AI model by end of June 2026, priced at 62.5% implied probability.** This reflects its recent edge on key mathematical reasoning benchmarks such as MATH (where Gemini 3.1 Pro variants have posted scores near 95%) and strong showings on AIME-style and competition-level problems, bolstered by extended “Deep Think” or test-time compute modes that enhance step-by-step reasoning. Anthropic (19.5%) and OpenAI (12.5%) trail due to competitive but slightly lower performance on pure math leaderboards relative to Google’s latest releases, despite their strengths in related areas like GPQA science reasoning or FrontierMath abstract problem-solving. Google’s DeepMind lineage in formal math systems (AlphaProof-style advances) and recent model updates emphasizing multimodal and long-horizon reasoning have reinforced its positioning among traders. The short timeline to month-end limits major new releases, so current benchmark leadership and demonstrated capability on hard problems remain the dominant drivers. Lower-priced contenders like Alibaba or Moonshot sit below 1% as their models trail frontier math scores. Traders view Google’s consistent recent gains as the decisive factor while acknowledging that rapid updates from any lab could still shift outcomes.
Riepilogo sperimentale generato dall'AI con riferimento ai dati di Polymarket. Questo non è un consiglio di trading e non ha alcun ruolo nella risoluzione di questo mercato. · Aggiornato
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