GPT-4.1

• 1. overview (401 chars)

  GPT-4.1 is a new generation of large language model series released by OpenAI in April 2025, including three versions: GPT-4.1, GPT-4.1 mini and GPT-4.1 nano. This series of models has significant improvements in coding capabilities, instruction following, and long text processing, and supports context windows of up to 1 million tokens. According to the official introduction, GPT-4.1 surpasses GPT-4o in multiple benchmark tests while reducing the price by about 26%.

• 2. Product background (589 chars)

  GPT-4.1, developed by OpenAI, is the latest iteration of the GPT-4 series. As the world's leading AI research company, OpenAI continues to launch more powerful large language models. The GPT-4.1 series is exclusively available to developers via an API and is not directly available in the ChatGPT interface. This marks a major adjustment in OpenAI’s product strategy, focusing its latest models on the developer market.   In terms of the competitive landscape, GPT-4.1 faces fierce competition from competing products such as Anthropic Claude and Google Gemini. Both Claude 3.7 Sonnet and Gemini 2.5 Pro form differentiated competition with GPT-4.1 in terms of coding and inference capabilities.

• 3. Product functions and usage experience (752 chars)

  The core features of the GPT-4.1 series revolve around powerful encoding capabilities and ultra-long context processing. GPT-4.1 supports context windows of up to 1 million tokens, making it suitable for handling large code bases, long document analysis, and complex multi-step tasks. As a lightweight version, GPT-4.1 mini provides higher cost performance while maintaining strong performance. GPT-4.1 nano is the smallest and fastest model in the series, suitable for simple tasks and large-scale calls.   In terms of coding capabilities, GPT-4.1 performs well in benchmarks such as SWE-bench, enabling it to better understand code intent and generate high-quality code. Improved command-following abilities enable more accurate execution of complex multi-step instructions. The model also supports multi-modal understanding and can handle combined input of images and text.

• 4. Pricing and business model (566 chars)

  GPT-4.1 adopts a token-based API pricing model. According to the March 2026 update, GPT-4.1 is priced at $2 per million input tokens and $8 per million output tokens. Compared to the price of GPT-4o ($2.5/$10), this is about 26% lower. GPT-4.1 nano is even cheaper at just $0.1 per million input tokens.   OpenAI also offers bulk API pricing, which is typically half the standard price. Additionally, the Prompt Caching feature can further reduce the cost of long conversations. The target user groups include developers, enterprises and research institutions, and application scenarios that require strong coding capabilities and long context processing capabilities.

• 5. User reviews (439 chars)

  Judging from public information, developers have positively evaluated the coding capabilities of GPT-4.1. The context window of 1 million tokens is considered a powerful tool for large-scale code analysis. The improvement of multimodal understanding capabilities has also been well received.   Some users have pointed out that GPT-4.1 may not be as good as Claude 3.7 on some complex reasoning tasks. In addition, as an API-only model, it cannot be used directly in the ChatGPT interface and is not user-friendly enough.

• 6. Industry evaluation (440 chars)

  Technology media generally regard GPT-4.1 as an important product for OpenAI to consolidate the developer market. The 1 million token context is a highlight, enabling the model to handle entire code bases or large documents. Price cuts are also seen as a move to increase competitiveness.   In terms of competitive landscape, Claude 3.7 Sonnet competes in reasoning capabilities, and Gemini 2.5 Pro has similar capabilities in long context processing. GPT-4.1 needs to maintain its advantages in performance and ecology.

• 7. Controversies and Risks (258 chars)

  There is currently little public controversy information about GPT-4.1. Potential risks include: as a closed-source model, it cannot be deployed locally; API call costs still pose pressure on large-scale applications; in addition, as the model size increases, inference latency also needs attention.

• 8. Applicable groups and usage suggestions (332 chars)

  GPT-4.1 is suitable for developers who require strong coding capabilities. For teams working on large code bases, 1 million token context is a unique advantage. GPT-4.1 is a good choice for tasks that require long document analysis and multi-step reasoning.   For simple conversations or daily use needs, there may be no need to call the GPT-4.1 API, and a lighter model may be more cost-effective.

• 9. Summarize (300 chars)

  As a new generation developer-oriented model of OpenAI, GPT-4.1 has clear advantages in coding capabilities and long context processing. The price reduction adds to the appeal. Suitable for development teams with complex coding tasks and long context processing needs. It is recommended to select the appropriate model version according to your needs.

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• 

  墨染927

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  刚迁移到GPT-5.2，但说实话还经常怀念GPT-4.1那种干净利落的风格，写代码是真的爽，没有多余的废话。

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  BillyBrownZ

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  OpenAI要把4.1退役了我反而有点舍不得，百万token上下文是真的能打，整个项目库丢进去都能分析。

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  NicholasCruz

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  最近几周感觉GPT-4.1的上下文保持能力下降了不少，有时候聊着聊着就忘记之前说了什么，回归有点明显。

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  VIbau

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  用4.1做代码审查大半年了，那个1M上下文处理整个repo的能力，现在切换到5.x之后反而找不到替代品。

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  TEweb_dev

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  虽然GPT-5更强，但4.1 mini的性价比至今还是无敌的，拿来跑RAG管线简直不要太合适。

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  刘莉

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  GPT-4.1在agent场景下的表现让我挺失望的，任务一复杂就频繁要我确认，根本没法放手让它自己跑。

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  Martha912

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  剪不断理还乱，GPT-4.1的API调用时不时就timeout，搞生产环境真的很头疼，重试逻辑写了一大堆。

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• 

  邹晨静

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  说实话4.1刚出来的时候我还在吐槽它的命名，4.1比4.5还强是什么鬼逻辑，但实际用下来编程确实很猛。

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  cy1uss6

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  nano版本是真的快又便宜，我们拿来做内容分类和自动补全，每分钟处理几千条请求，成本几乎忽略不计。

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• 

  Matthew.Hart_Plus

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  跑了一批benchmark对比，4.1在长文档提取任务上的准确率比GPT-4o高了差不多20%，百万上下文不是噱头。

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• 

  hz87j9emt99

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  拿GPT-4.1和DeepSeek V4比了一下代码生成，各有千秋，但4.1的中文理解明显更好，写中文注释也更自然。

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• 

  丁萍

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  4.1最棒的地方就是没有那种讨好感，直接给你答案，不像4o总爱加一堆客套话。这一点很多开发者应该都认同。

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  eRIClOPEZ

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  读了一个分析说GPT-4.1本质上是GPT-4o的工程优化版，不是真正的下一代模型，我觉得说得挺对的——没学新东西但拧得更紧了。

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• 

  樱花958

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  之前用GPT-4.1重构了一个遗留的Python 2项目，它真的能把整个代码库的结构都理解清楚，改一处能考虑到对其他文件的影响。

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  MarthaCruzX

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  4.1做前端生成是真的强。让它写一个带交互的页面，一次出活基本不用改，比4o生成的页面好看太多了。

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  CKim_66

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  不能生成图片也没有语音功能，想做个多模态的应用就尴尬了还得额外接DALL-E，不如直接用GPT-4o方便。

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  BinanceBossHill

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  百万上下文处理到七八十万token的时候准确率掉到75%左右了，还是得控制在50万以内才能保证效果。

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  EeliSavela

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  公司之前用GPT-4o跑生产，迁移到4.1之后成本直接降了四分之一，响应速度还更快了，老板很高兴。

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• 

  SaraNelsonK

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  最新几周有用户反映4.1在遵循Custom Instructions方面出现了退步，我以前没遇到，但最近确实感觉它开始忽略一些指令了。

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  Justin_Hall_Plus

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  最满意的改进是无关修改从9%降到了2%，以前用GPT-4o生成代码经常莫名其妙改一些不该改的地方，4.1就很精准。

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  云朵281

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  用4.1分析了一份300页的合同，逐条提取了责任条款并标注了引用位置，这要是人工来干至少得一天。

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• 

  Heather.FloresX

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  讲真4.1发布的时候没发安全报告那事让我挺警惕的，后来出了Safety Evaluations Hub才放心一些。不过到2026年也要退役了。

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• 

  WhaleAlertJenkins

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  刚发现OpenAI官方说只有0.1%的用户还在用GPT-4o了，看来大部分人早就迁移到4.1或者5.x了吧。

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  琉璃_20

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  做了个简单的RAG对比，4.1做检索器比4o的准确率高不少，而且成本还更低，nano版本跑分类简直是白菜价。

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  悠然

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  4.1的SWE-bench成绩确实漂亮，但实际项目中和Claude 3.7比还是有差距，尤其需要深度推理的时候。

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  唐芳

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  指令遵循能力比4o强了不是一星半点，以前写提示词得绞尽脑汁让它理解，4.1基本上说一遍就够了。

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  Alice_Price_7

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  4.1上线ChatGPT那天我就切过去用了，清爽！没油腻感！不知道是不是心理作用，感觉它回复的速度都快了不少。

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  Helen_Moore_X

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  我自己用4.1写了一个Flappy Bird的网页游戏，一次生成跑起来完全没bug，这种体验4o从来没给过我。

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  ez4tg

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  吐槽一下4.1的命名，4.1比4.5强这种反直觉的事情也只有OpenAI干得出来了，每次跟同事解释都要费半天口舌。

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  Henry_Kim_99

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  处理超长文本的时候百万token的优势就体现出来了，之前用Gemini处理同样长度的文档4.1的性价比更高。

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