Trader consensus on Polymarket gives Google a 53.5% implied probability of having the third-best AI model by end-April 2026, closely trailed by Anthropic at 38%, reflecting the razor-thin margins atop the LMSYS Chatbot Arena leaderboard. Google's Gemini 3.1 Pro, released February 19, surged to top reasoning and multimodal benchmarks like ARC-AGI-2 (77.1%) and GPQA, while Anthropic's Claude Opus 4.6 dominates coding arenas (e.g., 2002 Elo) and complex tasks since early March. OpenAI's recent GPT-5.4 ties Gemini in intelligence indexes but leads in agentic coding, positioning it firmly for a top-two finish and relegating others like Mistral below 2%. With April releases looming from major labs, leaderboard volatility persists amid rapid iteration in large language model capabilities.
Экспериментальная сводка, созданная ИИ на основе данных Polymarket · ОбновленоWhich company has the third best AI model end of April?
Which company has the third best AI model end of April?
Google 54%
Anthropic 39%
OpenAI 3.1%
Mistral 1.8%
$73,817 Объем
$73,817 Объем

54%

Anthropic
39%

OpenAI
3%

Mistral
2%

DeepSeek
2%

Baidu
2%

xAI
1%

Z.ai
1%

ByteDance
1%

Amazon
<1%

Moonshot
<1%

Alibaba
<1%

Meituan
<1%
Google 54%
Anthropic 39%
OpenAI 3.1%
Mistral 1.8%
$73,817 Объем
$73,817 Объем

54%

Anthropic
39%

OpenAI
3%

Mistral
2%

DeepSeek
2%

Baidu
2%

xAI
1%

Z.ai
1%

ByteDance
1%

Amazon
<1%

Moonshot
<1%

Alibaba
<1%

Meituan
<1%
Results from the "Score" column under the "Text Arena | Overall" Leaderboard tab at https://lmarena.ai/leaderboard/text with style control off will be used to resolve this market.
Models will be ranked primarily by their arena score at this market’s check time, with alphabetical order of company names as listed in this market group used as a tiebreaker (e.g., if the two models are tied by arena score, “Google” would be ranked ahead of “xAI”). This market will resolve based on the company that occupies third 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.
Открытие рынка: Mar 20, 2026, 4:21 PM ET
Resolver
0x69c47De9D...Results from the "Score" column under the "Text Arena | Overall" Leaderboard tab at https://lmarena.ai/leaderboard/text with style control off will be used to resolve this market.
Models will be ranked primarily by their arena score at this market’s check time, with alphabetical order of company names as listed in this market group used as a tiebreaker (e.g., if the two models are tied by arena score, “Google” would be ranked ahead of “xAI”). This market will resolve based on the company that occupies third 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.
Resolver
0x69c47De9D...Trader consensus on Polymarket gives Google a 53.5% implied probability of having the third-best AI model by end-April 2026, closely trailed by Anthropic at 38%, reflecting the razor-thin margins atop the LMSYS Chatbot Arena leaderboard. Google's Gemini 3.1 Pro, released February 19, surged to top reasoning and multimodal benchmarks like ARC-AGI-2 (77.1%) and GPQA, while Anthropic's Claude Opus 4.6 dominates coding arenas (e.g., 2002 Elo) and complex tasks since early March. OpenAI's recent GPT-5.4 ties Gemini in intelligence indexes but leads in agentic coding, positioning it firmly for a top-two finish and relegating others like Mistral below 2%. With April releases looming from major labs, leaderboard volatility persists amid rapid iteration in large language model capabilities.
Экспериментальная сводка, созданная ИИ на основе данных Polymarket · Обновлено
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