OpenAI’s rapid iteration of the GPT-5 series, including the March 2026 launch of GPT-5.4 Thinking and the April rollout of GPT-5.5, has set a fast cadence for frontier model updates that combine advanced reasoning, coding agents, and tool use. Competitive pressure from Google’s Gemini 3 variants, Anthropic’s Claude 4 models, and xAI’s Grok releases continues to drive OpenAI to accelerate development and integration of capabilities like agentic workflows and multimodal performance. Recent milestones, such as making frontier models available on AWS in early June 2026 and ongoing refinements to GPT-5.5, reflect sustained internal progress amid a crowded large language model landscape. Traders watch for signals around the next major training run or unified system upgrade, typically benchmarked against prior release intervals of several months.
基于Polymarket数据的AI实验性摘要。这不是交易建议,也不影响该市场的结算方式。 · 更新于$23,800 交易量
June 30
85%
September 30
97%
$23,800 交易量
June 30
85%
September 30
97%
For this market to resolve to “Yes”, OpenAI’s new frontier model must be launched and publicly accessible, including via open beta or open rolling waitlist signups. A closed beta or any form of private access will not suffice. The release must be clearly defined and publicly announced by OpenAI as being accessible to the general public.
A frontier model refers to a newly released OpenAI model that OpenAI describes as one of its most capable or next-generation, general-purpose flagship models.
Qualifying new frontier models include successors to existing frontier models, such as GPT 5.2, which could succeed GPT 5.1 in the same way that GPT 5.1 succeeded GPT 5. Models focused on a specific task such as image generation or which are versions of a previous model optimized for a specific task (i.e. GPT 5.1-codex) or for cost-efficiency (i.e. GPT-5 mini) will not count.
Qualifying frontier models which are separate from the OpenAI GPT series will count. A qualifying new model from OpenAI’s o-series (i.e. o1, o3) will count.
The primary resolution source for this market will be official information from OpenAI, with additional verification from a consensus of credible reporting.
市场开放时间: May 1, 2026, 5:56 PM ET
Resolver
0x65070BE91...For this market to resolve to “Yes”, OpenAI’s new frontier model must be launched and publicly accessible, including via open beta or open rolling waitlist signups. A closed beta or any form of private access will not suffice. The release must be clearly defined and publicly announced by OpenAI as being accessible to the general public.
A frontier model refers to a newly released OpenAI model that OpenAI describes as one of its most capable or next-generation, general-purpose flagship models.
Qualifying new frontier models include successors to existing frontier models, such as GPT 5.2, which could succeed GPT 5.1 in the same way that GPT 5.1 succeeded GPT 5. Models focused on a specific task such as image generation or which are versions of a previous model optimized for a specific task (i.e. GPT 5.1-codex) or for cost-efficiency (i.e. GPT-5 mini) will not count.
Qualifying frontier models which are separate from the OpenAI GPT series will count. A qualifying new model from OpenAI’s o-series (i.e. o1, o3) will count.
The primary resolution source for this market will be official information from OpenAI, with additional verification from a consensus of credible reporting.
Resolver
0x65070BE91...OpenAI’s rapid iteration of the GPT-5 series, including the March 2026 launch of GPT-5.4 Thinking and the April rollout of GPT-5.5, has set a fast cadence for frontier model updates that combine advanced reasoning, coding agents, and tool use. Competitive pressure from Google’s Gemini 3 variants, Anthropic’s Claude 4 models, and xAI’s Grok releases continues to drive OpenAI to accelerate development and integration of capabilities like agentic workflows and multimodal performance. Recent milestones, such as making frontier models available on AWS in early June 2026 and ongoing refinements to GPT-5.5, reflect sustained internal progress amid a crowded large language model landscape. Traders watch for signals around the next major training run or unified system upgrade, typically benchmarked against prior release intervals of several months.
基于Polymarket数据的AI实验性摘要。这不是交易建议,也不影响该市场的结算方式。 · 更新于
警惕外部链接哦。
警惕外部链接哦。
常见问题