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OpenAI: GPT-4.1 Nano (batch)

openai/gpt-4.1-nano:batch

比较

For tasks that demand low latency, GPT‑4.1 nano is the fastest and cheapest model in the GPT-4.1 series. It delivers exceptional performance at a small size with its 1 million token context window, and scores 80.1% on MMLU, 50.3% on GPQA, and 9.8% on Aider polyglot coding – even higher than GPT‑4o mini. It’s ideal for tasks like classification or autocompletion.

模态
输入 / 输出价格
US$0.05 / US$0.20每 1M
上下文
1.0M
发布时间
2025年4月14日
知识截止日期
2024年6月
比较
提供商定价性能正常运行时间基准测试应用活动文档常见问题探索

提供商

不同公司托管同一个模型。OpenRouter 会根据您选择的路由模式，将您的请求路由到其中一家公司：Balanced（价格 + 速度）、Nitro（最快）或 Floor（最便宜）。

定价

客户为此模型实际支付的平均价格，与提供商公布的价格并列展示。由于缓存和折扣，实际支付的价格往往远低于标价。

性能

吞吐量是模型生成内容的速度（每秒 token 数，越高越好）。延迟是完整的往返时间（越低越好）。TTFT 是首个 token 的响应时间，即您看到内容出现前需要等待的时间（越低越好）。

正常运行时间

正常运行时间是指过去 3 天中至少有一家提供商响应请求的时间百分比。可用性是指成功提供推理服务的时间百分比。OpenRouter 会持续监控，并在某家提供商返回错误时使用次优提供商。

基准测试

标准化评测得分，以及此模型针对共用基准测试提示词的实际输出。百分比越高越好，每项排名显示此模型在该来源所评测的模型中的位置。

基准测试得分摘要： OpenAI: GPT-4.1 Nano (batch) （Artificial Analysis、Design Arena 和 Vals AI）
来源基准测试得分
Artificial AnalysisGPT-4.1 nano Coding Index11.1
Artificial AnalysisGPT-4.1 nano GPQA Diamond51.2%
Artificial AnalysisGPT-4.1 nano HLE3.8%
Artificial AnalysisGPT-4.1 nano IFBench32.0%
Artificial AnalysisGPT-4.1 nano τ²-Bench Telecom17.3%
Artificial AnalysisGPT-4.1 nano AA-LCR20.3%
Artificial AnalysisGPT-4.1 nano τ-Bench Banking3.5%
Artificial AnalysisGPT-4.1 nano GDPval-AA0.0%
Artificial AnalysisGPT-4.1 nano CritPt0.0%
Artificial AnalysisGPT-4.1 nano LiveCodeBench32.6%
Artificial AnalysisGPT-4.1 nano Terminal-Bench Hard3.8%
Artificial AnalysisGPT-4.1 nano Terminal-Bench 2.13.7%
Artificial AnalysisGPT-4.1 nano MMLU-Pro65.7%
Artificial AnalysisGPT-4.1 nano AIME 202524.0%
Artificial AnalysisGPT-4.1 nano AIME23.7%
Artificial AnalysisGPT-4.1 nano MATH-50084.8%
Design ArenaGPT-4.1 nano Models Arena 3D Elo922
Design ArenaGPT-4.1 nano Models Arena Code Categories Elo961
Design ArenaGPT-4.1 nano Models Arena Data Visualization Elo891
Design ArenaGPT-4.1 nano Models Arena Game Development Elo969
Design ArenaGPT-4.1 nano Models Arena UI Component Elo911
Design ArenaGPT-4.1 nano Models Arena Website Elo971
Vals AIGPT 4.1 Nano AIME26.5%
Vals AIGPT 4.1 Nano CorpFin v242.1%
Vals AIGPT 4.1 Nano Finance Agent v12.5%
Vals AIGPT 4.1 Nano GPQA Diamond50.8%
Vals AIGPT 4.1 Nano LiveCodeBench42.7%
Vals AIGPT 4.1 Nano LegalBench61.1%
Vals AIGPT 4.1 Nano MATH 50080.2%
Vals AIGPT 4.1 Nano MedQA68.2%
Vals AIGPT 4.1 Nano MGSM69.3%
Vals AIGPT 4.1 Nano MMLU Pro63.5%
Vals AIGPT 4.1 Nano MMMU Pro55.1%
Vals AIGPT 4.1 Nano MortgageTax52.8%
Vals AIGPT 4.1 Nano TaxEval v260.8%

应用

向此模型发送最多流量的公开应用。这能很好地反映实际生产工作负载的情况，也能提示此模型最适合哪些用例。

活动

此模型的 token 用量和请求流量随时间的变化。

API

可直接用于调用此模型的代码。OpenRouter 的 API 与 OpenAI 兼容——大多数 SDK 只需替换基础 URL 即可使用。切换模型时，唯一需要更改的是下方的模型标识符。

目前无法通过 EU 区域内路由使用。 区域内路由文档

文档

在 OpenRouter 上使用 OpenAI: GPT-4.1 Nano (batch) 构建应用的指南、实用教程、博客文章和工具。

  • Quasar Alpha and Optimus Alpha Reveal博客文章

探索更多模型

具备视觉能力的 AI 模型：用于图像理解的多模态大语言模型集合AI 模型排行榜排名
US$0.05US$0.20US$0.0125----
--
AutoExacto 基准测试
GPQA DiamondTAU-BenchOpenAI50.8%10.0%

正常运行时间数据尚不足，暂时无法显示。

当上游提供商发生错误时，如果您的请求筛选条件允许，我们可以通过路由到另一家健康的提供商来恢复服务。您可以通过以下接口以编程方式访问各提供商的正常运行时间数据： 端点 API。了解更多有关我们的 负载均衡和提供商路由选项。

使用此模型的应用尚无足够数据。

常见问题

For tasks that demand low latency, GPT‑4.1 nano is the fastest and cheapest model in the GPT-4.1 series. It delivers exceptional performance at a small size with its 1 million token context window, and scores 80.1% on MMLU, 50.3% on GPQA, and 9.8% on Aider polyglot coding – even higher than GPT‑4o mini. It’s ideal for tasks like classification or autocompletion.

OpenRouter 上的 GPT-4.1 Nano (batch) 文档包括 Quasar Alpha and Optimus Alpha Reveal 博客文章。快速入门介绍了 API 密钥和您的首次请求，API 参考列出了所有参数。

GPT-4.1 Nano (batch) 的费用为 US$0.05/百万输入 token 和 US$0.20/百万输出 token，Cache Read，价格为 US$0.0125/M tokens和Web Search，价格为 US$10.00/1K calls 单独计费。

GPT-4.1 Nano (batch) 的上下文窗口为 1,047,576 个 token。它最多支持 32,768 个补全 token。

是的。GPT-4.1 Nano (batch) 接受 tools 和 tool_choice，以进行函数调用。 它还支持通过 response_format 中的 JSON schema 实现结构化输出。

GPT-4.1 Nano (batch) 接受 图像、文本和PDF 等文件 作为输入，并返回 文本。

GPT-6.1 Terra Pro, GPT-6.1 Terra, GPT-6 Luna Decisions 及另外 58 个 是 OpenAI 的其他 文本 模型。

GPT-4.1 Nano (batch) 于 2025年4月14日 发布。其知识截止日期为 2024年6月30日。

更多模型，来自 OpenAI

GPT-6.1 Terra Pro

GPT-6.1 Terra Pro is the same underlying model as GPT-6.1 Terra, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6.1 Terra and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6.1 Terra instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

文本1.1M 上下文US$1 / US$5
GPT-6.1 Terra Pro (batch)

GPT-6.1 Terra Pro is the same underlying model as GPT-6.1 Terra, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6.1 Terra and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6.1 Terra instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

文本1.1M 上下文US$0.50 / US$2.50
GPT-6.1 Terra

GPT-6.1 Terra is the mid-tier model in OpenAI's GPT-6.1 series, priced below GPT-6.1 Sol. It is suited for everyday agentic, coding, and writing work, is particularly strong at understanding screenshots and on-screen content, and is efficient enough for high-volume workloads.

文本1.1M 上下文US$1 / US$5
GPT-6.1 Terra (batch)

GPT-6.1 Terra is the mid-tier model in OpenAI's GPT-6.1 series, priced below GPT-6.1 Sol. It is suited for everyday agentic, coding, and writing work, is particularly strong at understanding screenshots and on-screen content, and is efficient enough for high-volume workloads.

文本1.1M 上下文US$0.50 / US$2.50
GPT-6 Luna Decisions

GPT-6 Luna Decisions is GPT-6 Luna served through OpenAI's Decisions API. Instead of generating text, it reads the content passed as state (text, JSON, or images) and returns typed, probabilistic answers to named questions in a single request: the probability of yes for a yes/no question (noul), a probability for every option plus the most likely one (choice), or a probability for every level of an ordered rubric plus the expected score (score).

It is built for classification, routing, moderation, and rubric grading where application code thresholds the returned numbers rather than parsing a chat reply. A request can carry up to 200 questions about the same content.

决策US$0.10 / US$0
GPT-6.1 Sol Pro

GPT-6.1 Sol Pro is the same underlying model as GPT-6.1 Sol, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6.1 Sol and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6.1 Sol instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

文本1.1M 上下文US$2 / US$10
GPT-6.1 Sol Pro (batch)

GPT-6.1 Sol Pro is the same underlying model as GPT-6.1 Sol, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6.1 Sol and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6.1 Sol instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

文本1.1M 上下文US$1 / US$5
GPT-6.1 Sol

GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy professional work, and multi-step business workflow automation, and approaches Astra-level results on these tasks at a much lower cost. Compared with GPT-6 Sol, it makes fewer factual errors and is more reliable at respecting explicit restrictions and user intent during agentic tasks.

文本1.1M 上下文US$2 / US$10
GPT-6.1 Sol (batch)

GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy professional work, and multi-step business workflow automation, and approaches Astra-level results on these tasks at a much lower cost. Compared with GPT-6 Sol, it makes fewer factual errors and is more reliable at respecting explicit restrictions and user intent during agentic tasks.

文本1.1M 上下文US$1 / US$5
GPT-6 Luna Pro

GPT-6 Luna Pro is the same underlying model as GPT-6 Luna, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6 Luna and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6 Luna instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

文本1.1M 上下文US$0.10 / US$0.50
GPT-6 Luna Pro (batch)

GPT-6 Luna Pro is the same underlying model as GPT-6 Luna, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6 Luna and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6 Luna instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

文本1.1M 上下文US$0.05 / US$0.25
GPT-6 Luna

GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks, and at higher reasoning effort it can take on complex software engineering and computer-use tasks that previously called for a Sol-tier model. It shares the GPT-6 family's gains in factual reliability and its clearer, more concise communication style.

文本1.1M 上下文US$0.10 / US$0.50
GPT-6 Luna (batch)

GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks, and at higher reasoning effort it can take on complex software engineering and computer-use tasks that previously called for a Sol-tier model. It shares the GPT-6 family's gains in factual reliability and its clearer, more concise communication style.

文本1.1M 上下文US$0.05 / US$0.25
GPT-6 Sol Pro

GPT-6 Sol Pro is the same underlying model as GPT-6 Sol, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6 Sol and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6 Sol instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

文本1.1M 上下文US$2 / US$10
GPT-6 Sol Pro (batch)

GPT-6 Sol Pro is the same underlying model as GPT-6 Sol, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6 Sol and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6 Sol instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

文本1.1M 上下文US$1 / US$5
GPT-6 Sol

GPT-6 Sol is the cost-efficient high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna tier. It is suited for demanding professional work, agentic coding, business workflow automation, and computer use, and is particularly strong at long-horizon software engineering tasks in real codebases. It approaches Astra-level factual reliability at a much lower cost and shares Astra's clearer, more concise communication style in technical and coding conversations.

文本1.1M 上下文US$2 / US$10
GPT-6 Sol (batch)

GPT-6 Sol is the cost-efficient high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna tier. It is suited for demanding professional work, agentic coding, business workflow automation, and computer use, and is particularly strong at long-horizon software engineering tasks in real codebases. It approaches Astra-level factual reliability at a much lower cost and shares Astra's clearer, more concise communication style in technical and coding conversations.

文本1.1M 上下文US$1 / US$5
GPT Astra Latest

This model always redirects to the latest model in the GPT Astra family.

文本1.1M 上下文
GPT Sol Latest

This model always redirects to the latest model in the GPT Sol family.

文本1.1M 上下文
GPT Terra Latest

This model always redirects to the latest model in the GPT Terra family.

文本1.1M 上下文