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icon for ¿Qué empresa tiene el mejor modelo de Coding AI a finales de junio?

¿Qué empresa tiene el mejor modelo de Coding AI a finales de junio?

icon for ¿Qué empresa tiene el mejor modelo de Coding AI a finales de junio?

¿Qué empresa tiene el mejor modelo de Coding AI a finales de junio?

jun 30

jun 30

Anthropic 92%

OpenAI 4.9%

Z.ai 3.2%

Google 2.1%

Polymarket

$16,858 Vol.

Anthropic 92%

OpenAI 4.9%

Z.ai 3.2%

Google 2.1%

Polymarket

$16,858 Vol.

icon for Anthropic

Anthropic

$2,542 Vol.

92%

icon for OpenAI

OpenAI

$1,440 Vol.

5%

icon for Z.ai

Z.ai

$1,571 Vol.

3%

icon for Google

Google

$1,310 Vol.

2%

icon for xAI

xAI

$2,521 Vol.

1%

icon for Microsoft

Microsoft

$1,298 Vol.

1%

icon for Baidu

Baidu

$742 Vol.

<1%

icon for Meituan

Meituan

$740 Vol.

<1%

icon for DeepSeek

DeepSeek

$812 Vol.

<1%

icon for Amazon

Amazon

$763 Vol.

<1%

icon for Alibaba

Alibaba

$636 Vol.

<1%

icon for ByteDance

ByteDance

$844 Vol.

<1%

icon for Moonshot

Moonshot

$260 Vol.

<1%

icon for Meta

Meta

$747 Vol.

<1%

icon for Mistral

Mistral

$633 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 "Coding" is checked on June 30, 2026, 12:00 PM ET. Results from the "Rank" column under the "Text Arena | Coding" Leaderboard tab at https://arena.ai/leaderboard/text/coding-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.Anthropic holds a commanding 91.5% market-implied probability of fielding the top coding AI model by end of June, driven by the sustained dominance of its Claude Opus 4.8 and Sonnet 4.6 large language models across key benchmarks such as SWE-bench Verified, where recent iterations have posted leading scores above 82% alongside strong agentic performance on complex, multi-file tasks. Developers consistently favor these models for instruction following, long-context reasoning in large codebases, and reliable tool use in production workflows, reinforced by the May 28 release of Opus 4.8 with enhanced honesty, dynamic subagent orchestration, and effort controls. OpenAI’s GPT-5.5 variants and others trail significantly in current leaderboards and user preference data. A late-month breakthrough from competitors could narrow the gap, though no such announcements are imminent before the resolution window.

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 "Coding" is checked on June 30, 2026, 12:00 PM ET.

Results from the "Rank" column under the "Text Arena | Coding" Leaderboard tab at https://arena.ai/leaderboard/text/coding-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.
Volumen
$16,858
Fecha de finalización
30 jun 2026
Mercado abierto
May 26, 2026, 6:37 PM ET
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 "Coding" is checked on June 30, 2026, 12:00 PM ET. Results from the "Rank" column under the "Text Arena | Coding" Leaderboard tab at https://arena.ai/leaderboard/text/coding-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.
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 "Coding" is checked on June 30, 2026, 12:00 PM ET. Results from the "Rank" column under the "Text Arena | Coding" Leaderboard tab at https://arena.ai/leaderboard/text/coding-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.Anthropic holds a commanding 91.5% market-implied probability of fielding the top coding AI model by end of June, driven by the sustained dominance of its Claude Opus 4.8 and Sonnet 4.6 large language models across key benchmarks such as SWE-bench Verified, where recent iterations have posted leading scores above 82% alongside strong agentic performance on complex, multi-file tasks. Developers consistently favor these models for instruction following, long-context reasoning in large codebases, and reliable tool use in production workflows, reinforced by the May 28 release of Opus 4.8 with enhanced honesty, dynamic subagent orchestration, and effort controls. OpenAI’s GPT-5.5 variants and others trail significantly in current leaderboards and user preference data. A late-month breakthrough from competitors could narrow the gap, though no such announcements are imminent before the resolution window.

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 "Coding" is checked on June 30, 2026, 12:00 PM ET.

Results from the "Rank" column under the "Text Arena | Coding" Leaderboard tab at https://arena.ai/leaderboard/text/coding-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.
Volumen
$16,858
Fecha de finalización
30 jun 2026
Mercado abierto
May 26, 2026, 6:37 PM ET
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 "Coding" is checked on June 30, 2026, 12:00 PM ET. Results from the "Rank" column under the "Text Arena | Coding" Leaderboard tab at https://arena.ai/leaderboard/text/coding-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.

Cuidado con los enlaces externos.

Preguntas frecuentes

"¿Qué empresa tiene el mejor modelo de Coding AI a finales de junio?" es un mercado de predicción en Polymarket con 15 resultados posibles donde los operadores compran y venden acciones según lo que creen que sucederá. El resultado líder actual es "Anthropic" con 92%, seguido de "OpenAI" con 5%. Los precios reflejan probabilidades en tiempo real de la comunidad. Por ejemplo, una acción cotizada a 92¢ implica que el mercado colectivamente asigna una probabilidad de 92% a ese resultado. Estas probabilidades cambian continuamente a medida que los operadores reaccionan a nuevos desarrollos. Las acciones del resultado correcto son canjeables por $1 cada una tras la resolución del mercado.

A día de hoy, "¿Qué empresa tiene el mejor modelo de Coding AI a finales de junio?" ha generado $16.9K en volumen total de trading desde que el mercado se lanzó el May 26, 2026. Este nivel de actividad refleja un fuerte compromiso de la comunidad de Polymarket y ayuda a garantizar que las probabilidades actuales estén respaldadas por un amplio grupo de participantes del mercado. Puedes seguir los movimientos de precios en vivo y operar en cualquier resultado directamente en esta página.

Para operar en "¿Qué empresa tiene el mejor modelo de Coding AI a finales de junio?", explora los 15 resultados disponibles en esta página. Cada resultado muestra un precio actual que representa la probabilidad implícita del mercado. Para tomar una posición, selecciona el resultado que consideres más probable, elige "Sí" para operar a favor o "No" para operar en contra, introduce tu cantidad y haz clic en "Operar". Si tu resultado elegido es correcto cuando el mercado se resuelve, tus acciones de "Sí" pagan $1 cada una. Si es incorrecto, pagan $0. También puedes vender tus acciones en cualquier momento antes de la resolución.

El favorito actual para "¿Qué empresa tiene el mejor modelo de Coding AI a finales de junio?" es "Anthropic" con 92%, lo que significa que el mercado asigna una probabilidad de 92% a ese resultado. El siguiente resultado más cercano es "OpenAI" con 5%. Estas probabilidades se actualizan en tiempo real a medida que los operadores compran y venden acciones. Vuelve con frecuencia o guarda esta página en marcadores.

Las reglas de resolución para "¿Qué empresa tiene el mejor modelo de Coding AI a finales de junio?" definen exactamente qué debe ocurrir para que cada resultado sea declarado ganador, incluyendo las fuentes de datos oficiales utilizadas para determinar el resultado. Puedes revisar los criterios de resolución completos en la sección "Reglas" en esta página sobre los comentarios. Recomendamos leer las reglas cuidadosamente antes de operar, ya que especifican las condiciones exactas, casos especiales y fuentes.