GPT-4.1和GPT-4.1 MINI現已在Chatgpt中找到

AI型號並不總是需要開創性的才能有所作為。有時，速度，結構和聚焦的安靜變化會影響我們的工作方式

GPT-4.1 and GPT-4.1 mini, previously released by OpenAI in April via its API, are now rolling out to ChatGPT users, marking a silent yet significant shift in the chat service's capabilities.

GPT-4.1和GPT-4.1 Mini先前於4月通過其API發行，現在正在向ChatGpt用戶推出，這標誌著聊天服務能力的無聲而又重大的轉變。

The models, which drew attention for their arrival without the usual technical or safety report from OpenAI, are designed for performance, particularly in coding and instruction-following, areas where OpenAI claims GPT-4.1 shows "huge gains."

這些模型在沒有OpenAI的常規技術或安全報告的情況下引起了人們的注意，旨在績效，尤其是在編碼和指導跟踪方面，OpenAI索賠GPT-4.1顯示“巨大的收益”。

Now, reaching a wider user base, GPT-4.1 arrives to Plus, Team, and Enterprise subscribers, while GPT-4.1 mini will take the place of GPT-4.0 mini as the fallback for both free and paid tiers. This brings a more powerful and efficient text model into daily use, with improvements in consistency, speed, and prompt handling to be expected.

現在，到達更廣泛的用戶群，GPT-4.1到達Plus，Team和Enterprise訂閱者，而GPT-4.1 Mini將代替GPT-4.0 Mini作為免費和付費層的後備。這將更強大，更有效的文本模型用於日常使用，並預期一致性，速度和及時處理。

GPT-4.1 is also noted for its 1 million-token context window, nearly eight times that of GPT-4-turbo (often referred to informally as GPT-4.5), which is described by OpenAI as having 128,000 tokens. This allows for processing larger documents, longer conversations, and tasks like codebase analysis with fewer interruptions.

GPT-4.1還以其100萬個to錄窗口而聞名，幾乎是GPT-4-Turbo（通常被非正式地稱為GPT-4.5）的八倍，Openai將其描述為具有128,000個令牌。這允許處理較大的文檔，更長的對話和諸如代碼庫分析之類的任務，而中斷較少。

While early benchmarks like 54.6% on the SWE-bench Verified for GPT-4.1 in its strengths are noted, and users may notice trade-offs in tone or conversational nuance compared to previous versions. As part of this, GPT-4.0 mini has been retired, and OpenAI plans to fully phase out GPT-4-turbo by July 2025, from its API, to simplify its model lineup.

雖然早期的基準標有54.6％的SWE Bench，其優勢已驗證了GPT-4.1的優勢，並且與以前的版本相比，用戶可能會注意到語調或對話差異的權衡。為此，GPT-4.0 Mini已退休，OpenAI計劃在2025年7月之前從其API中完全淘汰GPT-4-Turbo，以簡化其模型陣容。