# Open AI

## Kurzbeschreibung
**OpenAI **offers a broad range of models via the API for text generation, reasoning, coding, tool use, structured outputs, and document-centric workflows. 


According to the official model overview, the current models support text and image input, text output, multilingual capabilities, and vision; they are available through the Responses API and client SDKs. For complex tasks, OpenAI recommends gpt-5.4 by default; for lower latency and cost, OpenAI points to gpt-5.4-mini and gpt-5.4-nano

## Claim
LLM “Access our frontier models and APIs.”

## Geeignet für
- API Integration
- Automation / Workflows
- Education
- Data Analysis
- Data Extraction / Document Analysis
- Customer Service & Chatbots
- Programming / Software Development
- Research
- Writing & Editing
- Texts / Content
- Translations
- Knowledge Management / Internal Search

## Kernfunktionen
- Image Generation
- Embeddings
- Function Calling
- AI Agents
- LLM API
- Multimodal AI
- Programming
- Reasoning Model
- Text-to-Speech
- Language Model
- Text Generation
- Transcription
- Video Generation

## Preismodell
- **free:** There is a free usage tier in the API rate limit system for users in permitted geographies
- **other:** **Token-based API usage** Billing by model, input/output tokens, cached input, audio/image/tool usage, and other usage-dependent factors.


**Batch / Flex / Priority / Scale Tier** Options for controlling costs and latency for larger or plannable workloads.


**Fine-Tuning / Evals / Tools / Agents** Additional API features for customization, evaluation, agents, web search, file search, code interpreter, realtime, and structured outputs.


**Data Residency / ZDR / EKM** Enterprise-grade data controls with regional storage/processing, Zero Data Retention or Modified Abuse Monitoring, and external key management.

## DSGVO und Datenschutz
**Gesamteinschätzung:** Conditional

**Overall assessment of hosting & data:** 

The OpenAI API is a managed cloud API service for text, reasoning, code, image, audio, voice, embeddings, moderation, tools, agents, and multimodal applications. Traditional on-premises hosting of the closed OpenAI models is not publicly documented as a standard option. Positive aspects include the broad API coverage, Responses API, tool calling, structured outputs, batch, Flex/Priority Processing, Data Residency, Zero Data Retention, Enterprise Key Management, and the clear standard statement “no training on API data without opt-in.” Critical issues remain third-country transfers, feature limitations depending on the region, possible persistence in certain API functions, and the need to correctly configure ZDR/Data Residency contractually or on a project-specific basis. 


**Conclusion: **

OpenAI is very strong for productive, scaling AI applications and enterprise use cases; for strictly regulated data, usage should be safeguarded with a DPA, ZDR/Modified Abuse Monitoring, Data Residency, EKM, and internal data classifications.


[Data controls in the OpenAI platform](https://developers.openai.com/api/docs/guides/your-data)

**GDPR assessment:** From a GDPR perspective, the OpenAI API is conditionally to well suited if it is used with Business/API contracts, a DPA, appropriate project settings, and clear data policies. 


**Positive** is that, according to the API documentation, OpenAI has not used API data to train or improve its models since March 1, 2023, unless customers explicitly opt in. In addition, there is a Data Processing Addendum, abuse-monitoring retention of up to 30 days, Zero Data Retention or Modified Abuse Monitoring for eligible customers, Data Residency for multiple regions, and Enterprise Key Management. 


**Negative **is that not all features are automatically ZDR-compatible, system data may be excluded from Data Residency, and for non-US regions additional approvals or ZDR/abuse-monitoring requirements apply. 


**Server location:** By default, not automatically EU-only; Data Residency can be enabled on a per-project basis, including for Europe / EEA + Switzerland, whereby customer data can be stored regionally for supported endpoints and, in Europe, can also be processed regionally. Further link: OpenAI Data Controls / Your Data and OpenAI DPA.


[Data controls in the OpenAI platform](https://developers.openai.com/api/docs/guides/your-data)

## Hosting und Daten
- **On-Prem / lokales Hosting:** teilweise / indirekt
- **Private Cloud / Rechenzentrum:** abgedeckt
- **EU SaaS / Managed:** abgedeckt
- **Hybrid:** teilweise / indirekt
- **AVV / DPA:** abgedeckt
- **Kein Training auf Kundendaten:** abgedeckt
- **Open-Source / Transparenz-Pfad:** teilweise / indirekt

## Standort
**Land:** USA

**Taxonomie:** USA

OpenAI OpCo, LLC, 1455 3rd Street, San Francisco, CA 94158, USA

## Vorteile
- Very broad model coverage from affordable to frontier.
- Strong suitability for coding, agents, tool calling, structured outputs, and long contexts.
- According to OpenAI, API/business data is not used for training on inputs/outputs by default.
- Data residency, Zero Data Retention, and DPA are

## Nachteile
- The portfolio is complex; model selection, pricing tiers, context limits, and tool costs require explanation.
- The strongest models are significantly more expensive than Mini/Nano variants.
- Privacy and data residency options are not uniformly identical for every case, but are in some instances tied to organization type, endpoint, or enablement.
- Older model families that remain available increase operational complexity in selection and lifecycle management.

## Quellen
- Offizielle Website: https://developers.openai.com/api/docs/pricing

## Letzter Datenstand
2026-04-16

## Originalseite
https://kifox.ai/en/ki-tools/open-ai-en/