工具评估

OpenAI API 评估：通用 AI 产品能力的主模型路线

提供模型 API、官方 SDK、嵌入、图像、音频、转写与工具等能力。

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Editorial verdict

构建通用生成、工具调用或多模态产品时可作为主模型候选。¹ ² ⁴

Best for

Products needing a broad managed model and tool surface
Teams prepared to evaluate exact models on representative workloads
Applications that benefit from one provider across several AI modalities

¹ ² ⁴

不适合

Teams requiring self-operated model weights or another cloud control plane
Products unable to absorb model, pricing, or API lifecycle changes
Workloads whose data, region, output, or policy boundary does not fit

¹ ² ⁴

Main trade-off

能力面广，但模型变化、价格与供应商依赖需要通过评估和降级策略管理。¹ ² ⁴

产品边界

适合从一个能力覆盖面广、开发资料成熟的供应商开始建立真实评估。

This page covers the OpenAI API platform and official client SDKs, not ChatGPT subscriptions or the separate OpenAI Agents SDK. Every model, endpoint, hosted tool, modality, storage feature, and pricing meter keeps its own capability and policy boundary.¹ ² ⁴

适用范围： Application teams evaluating a managed model platform for text, multimodal, embedding, image, transcription, or speech-generation workloads

Another provider materially outperforms OpenAI on the evaluated workload
Required data, region, policy, modality, or deployment controls do not fit
Model lifecycle or multi-meter economics make another route safer

为什么团队会评估 OpenAI API

Broad API surfaceOfficial documentation covers current general-purpose models, embeddings, images, audio, tools, and specialized endpoints.¹ ² ⁴
First-party SDK pathOfficial SDKs expose current API request, streaming, error, and lifecycle semantics without a third-party abstraction.¹ ² ⁴
Operational controlsThe platform documents data controls, rate and spend limits, model snapshots, and deprecation notices.¹ ² ⁴

价格与计费

Usage is model and feature specific: input, cached input, output, image, audio, tool, batch, storage, and priority dimensions are not interchangeable.²

Current decision boundary

Usage-based API

Verified 2026-07-27: OpenAI publishes model- and feature-specific API prices; estimates must pin the exact model, endpoint, tools, media, cache, batch, and processing tier.²

Primary meters: Model tokens plus modality- and tool-specific units²
Lifecycle cost: Model evaluation and migration are recurring operating work²
Separate boundary: ChatGPT plan prices do not establish API cost²

价格核对日期 July 27, 2026查看官方价格

OpenAI API 与替代方案

Anthropic Claude API

Choose when: Teams deliberately choosing Claude after workload evaluation
Avoid when: Teams requiring another provider's modality or deployment controls
Compared with OpenAI API: Claude-specific quality and semantics can improve a product while retaining provider, model, delivery-route, pricing, retention, and retirement dependence.¹⁰ ¹¹ ¹²

Google Gemini API

Choose when: Applications benefiting from Gemini's current multimodal model surface
Avoid when: Teams that need Vertex-specific governance but are evaluating only the Developer API
Compared with OpenAI API: A broad Google model surface and one SDK reduce integration work while free-versus-paid data terms, model stages, quotas, pricing, and Vertex separation require active governance.¹³ ¹⁴ ¹⁵

Mistral AI API

Choose when: Teams comparing hosted Mistral APIs with deployment-aware model options
Avoid when: Teams wanting one mainstream managed route with minimal deployment decisions
Compared with OpenAI API: Mistral can offer meaningful hosting and model-control choices while adding license interpretation, deployment operations, model selection, lifecycle, and total-cost work.¹⁶ ¹⁷ ¹⁸

资源与来源

Official product, pricing, policy, and lifecycle sources

OpenAI API model catalog
Open
OpenAI API pricing
Open
OpenAI SDKs and CLI
Open
OpenAI API data controls
Open
OpenAI API deprecations
Open
OpenAI vector embeddings
Open
OpenAI image generation
Open
OpenAI speech to text
Open
OpenAI text to speech
Open