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openai 的网站图标

OpenAI: GPT-5.3-Codex

openai/gpt-5.3-codex

比较

GPT-5.3-Codex is OpenAI’s most advanced agentic coding model, combining the frontier software engineering performance of GPT-5.2-Codex with the broader reasoning and professional knowledge capabilities of GPT-5.2. It achieves state-of-the-art results on SWE-Bench Pro and strong performance on Terminal-Bench 2.0 and OSWorld-Verified, reflecting improved multi-language coding, terminal proficiency, and real-world computer-use skills. The model is optimized for long-running, tool-using workflows and supports interactive steering during execution, making it suitable for complex development tasks, debugging, deployment, and iterative product work.

Beyond coding, GPT-5.3-Codex performs strongly on structured knowledge-work benchmarks such as GDPval, supporting tasks like document drafting, spreadsheet analysis, slide creation, and operational research across domains. It is trained with enhanced cybersecurity awareness, including vulnerability identification capabilities, and deployed with additional safeguards for high-risk use cases. Compared to prior Codex models, it is more token-efficient and approximately 25% faster, targeting professional end-to-end workflows that span reasoning, execution, and computer interaction.

模态
输入 / 输出价格
US$1.75 / US$14每 1M
上下文
400K
发布时间
2026年2月24日
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-5.3-Codex （Artificial Analysis、Design Arena 和 Vals AI）
来源基准测试得分
Artificial AnalysisGPT-5.3 Codex (Xhigh) GPQA Diamond91.5%
Artificial AnalysisGPT-5.3 Codex (Xhigh) HLE42.5%
Artificial AnalysisGPT-5.3 Codex (Xhigh) IFBench75.4%
Artificial AnalysisGPT-5.3 Codex (Xhigh) τ²-Bench Telecom86.0%
Artificial AnalysisGPT-5.3 Codex (Xhigh) AA-LCR83.3%
Artificial AnalysisGPT-5.3 Codex (Xhigh) CritPt16.9%
Artificial AnalysisGPT-5.3 Codex (Xhigh) Terminal-Bench Hard53.0%
Design ArenaGPT-5.3 Codex Agents Arena Androidnative Elo1084
Design ArenaGPT-5.3 Codex Agents Arena Full Stack Elo983
Design ArenaGPT-5.3 Codex Agents Arena Godotgamedev Elo1124
Design ArenaGPT-5.3 Codex Agents Arena Mobile Apps Elo1053
Design ArenaGPT-5.3 Codex Agents Arena Webapps Elo1017
Design ArenaGPT-5.3 Codex Models Arena 3D Elo1005
Design ArenaGPT-5.3 Codex Models Arena Asciiart Elo1149
Design ArenaGPT-5.3 Codex Models Arena Code Categories Elo1143
Design ArenaGPT-5.3 Codex Models Arena Data Visualization Elo1164
Design ArenaGPT-5.3 Codex Models Arena Game Development Elo1161
Design ArenaGPT-5.3 Codex Models Arena SVG Elo1126
Design ArenaGPT-5.3 Codex Models Arena UI Component Elo1132
Design ArenaGPT-5.3 Codex Models Arena Website Elo1161
Vals AIGPT 5.3 Codex IOI53.8%
Vals AIGPT 5.3 Codex LiveCodeBench87.3%
Vals AIGPT 5.3 Codex SWE-bench78.0%
Vals AIGPT 5.3 Codex Terminal-Bench 2.064.0%
Vals AIGPT 5.3 Codex Vibe Code Bench v1.161.8%

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-5.3-Codex 构建应用的指南、实用教程、博客文章和工具。

  • GPT-5.4 Migration Guide实用示例

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
延迟 / 吞吐量
US$1.75US$14.00US$0.1756.69s36 tps
100.00%
US$1.75US$14.00US$0.1752.72s75 tps
100.00%
不用于 Standard 路由：未使用这些端点的原因
Fast
US$3.50US$28.00US$0.3501.02s156 tps
--
吞吐量
156token/秒

P50，所有提供商中最佳

延迟
1.02秒

P50，最佳提供商

AutoExacto 基准测试
TAU-BenchOpenAI75.3%
正常运行时间（3 天）模型可访问。请求已路由至提供商。
100.00%
可用性（3 天）模型通过任意提供商返回了推理结果。错误和空响应均计为失败。
76.83%

过去 3 天的可用性

最近 72 小时
可用性 76.83%
3 天前2 天前昨天现在

过去 24 小时的可用性

OpenRouter Availability
85.28%
Without Routing
85.07%

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。

1.
https://www.framer.com/ 的网站图标
Framer
Create a professional website with Framer’s no-code AI website builder. Design freely, manage CMS content, optimize SEO, collaborate, and publish fast.
68.6Btoken
2.
https://openai.com/codex 的网站图标
Codex
A coding agent that helps you build and ship with AI
49.7Btoken
3.
https://www.ito.ai/ 的网站图标
Ito
Agentic QA platform that actually runs your app
14.7Btoken
4.
https://kilocode.ai/ 的网站图标
Kilo Code
Kilo Code is an open-source AI coding agent that works across VS Code, JetBrains, and CLI to help developers ship code faster with agentic workflows.
1.82Btoken
5.
https://nousresearch.com 的网站图标
Hermes Agent
Hermes Agent is an open-source, self-improving AI agent by Nous Research that runs persistently with memory across sessions, and builds reusable skills from experience. It comes with 40+ built-in tools, including web search, browser automation, and vision, plus scheduled automations and subagents.
1.64Btoken

常见问题

GPT-5.3-Codex is OpenAI’s most advanced agentic coding model, combining the frontier software engineering performance of GPT-5.2-Codex with the broader reasoning and professional knowledge capabilities of GPT-5.2.

OpenRouter 上的 GPT-5.3-Codex 文档包括 GPT-5.4 Migration Guide 实用指南。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-5.3-Codex 的费用为 US$1.75/百万输入 token 和 US$14.00/百万输出 token，Cache Read，价格为 US$0.175/M tokens 单独计费。

GPT-5.3-Codex 的上下文窗口为 400,000 个 token。它最多支持 128,000 个补全 token。

是的。GPT-5.3-Codex 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-5.3-Codex 接受 文本、图像和PDF 等文件 作为输入，并返回 文本。

GPT-5.3-Codex 在 OpenRouter 上由 2 家提供商提供服务：Azure和OpenAI。请求会路由至当前可用的最佳提供商，并在故障时自动切换至其他提供商，您也可以通过提供商路由固定或排除提供商。

GPT-5.3-Codex 于 2026年2月24日 发布。

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