技术指南

OpenAI Responses API vs Chat Completions

OpenAI recommends the Responses API for new projects while continuing to support Chat Completions.

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  • 最后更新
在本页3 分钟阅读
  1. 概述
  2. 深入探讨
  3. 战略影响
  4. The Future of OpenAI Responses API vs Chat Completions
  5. 现实世界的实施
  6. 风险与防护栏
  7. 实施路线图
  8. 不断探索
  9. 常见问题

概述

Their request, response, tool, and conversation-state interfaces differ, so developers should choose by model support and product needs and check the official documentation as of September 26, 2026.

深入探讨

OpenAI’s Responses API is its recommended interface for new projects as of September 26, 2026; Chat Completions remains supported. Responses accepts input and returns a typed output list that can contain messages and tool-related items. Chat Completions accepts a role-tagged messages array and returns choices containing messages. Both APIs support text generation, and OpenAI documents function calling and structured outputs for each, but request and response schemas differ. Responses offers platform tools such as web search and file search, and its multi-turn options include previous_response_id and the Conversations API. Chat Completions does not automatically provide the same conversation history; the application generally resends the messages it wants the model to consider. State and storage are configurable, so stateful does not mean the service automatically remembers every user across calls. Check current data controls and model compatibility before relying on a feature. For a simple existing integration, Chat Completions may remain a reasonable fit when its capabilities meet the need. A new agentic workflow that needs built-in platform tools may benefit from Responses. Migration involves more than changing an endpoint: update input fields, parse output items, adapt function/tool flow, and test streaming, structured outputs, errors, and storage settings. OpenAI’s documentation should be treated as the authority for the current feature matrix. Endpoint and tool availability can vary by model, so confirm support for the exact model and project before relying on a capability.

战略影响

成本与预算

多年来,架构决策决定着性能和运营成本。

更清晰的判决

技术教育帮助团队选择正确的堆栈,而不仅仅是最新的堆栈。

质量控制

更好的工程选择可以减少生产中的可靠性事故。

The Future of OpenAI Responses API vs Chat Completions

OpenAI’s current documentation recommends Responses for new projects and says Chat Completions remains supported. New tools and model features can change the comparison, while legacy integrations may prioritize compatibility and a simpler message format. Recheck the migration guide, model-specific support, data controls, and SDK behavior before making an implementation choice; avoid assuming that every feature or parameter is interchangeable. Maintain a small regression set for the request and response paths your product actually uses, and clearly date any compatibility claims.

现实世界的实施

An app using Chat Completions resends the entire conversation array on every request, while the same app on the Responses API can pass just a previous_response_id to continue a thread without resending history.

A developer wanting built-in web search adds it as a tool in the Responses API call rather than writing custom code to call a search API and manually inserting results into the message array.

A team migrating a support bot swaps their loop that manually manages message arrays for one that stores OpenAI's returned response ID and passes it back on the next turn.

A legacy integration that already has robust custom message-history logic keeps using Chat Completions rather than rewriting its state management around a new API shape.

风险与防护栏

  • 优化一项基准测试可以隐藏更广泛的系统弱点。

  • 基础设施和维护成本常常被低估。

  • 随着系统变得更加复杂,安全性和可观察性差距可能会扩大。

实施路线图

  1. 在实施之前定义延迟、质量和成本目标。

  2. 在实际负载和数据条件下进行基准测试。

  3. 仪器监控错误、漂移和用户影响。

  4. 在扩展之前准备回滚和事件响应路径。

不断探索

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常见问题

What is OpenAI Responses API vs Chat Completions?

OpenAI recommends the Responses API for new projects while continuing to support Chat Completions. Their request, response, tool, and conversation-state interfaces differ, so developers should choose by model support and product needs and check the official documentation as of September 26, 2026.

As of the cited OpenAI documentation, how can Responses preserve conversation context across turns?

OpenAI documents explicit continuation with previous_response_id and persistent Conversation objects; state does not automatically span every arbitrary request.

What built-in capability does the Responses API offer that previously required custom implementation in Chat Completions?

The Responses API can execute tools like web search or file search server-side, which previously required developers to call an external API and manually insert results.

How does the output shape of the Responses API differ from Chat Completions?

The Responses API response object can contain multiple output items, unlike the single choices[0].message shape of Chat Completions.

What does OpenAI currently say about Chat Completions?

OpenAI’s current migration guide recommends Responses for new projects and states that Chat Completions remains supported.

What should a developer check before assuming an API feature will work with a particular model?

Endpoint availability and feature support can vary by model; current documentation is the source for compatibility.