# DeepSeek API

## Kurzbeschreibung
**Build with the latest DeepSeek models**


**DeepSeek **currently offers two LLM access points via its API: deepseek-chat and deepseek-reasoner. According to the official documentation, both currently correspond to DeepSeek-V3.2 with a 128K context window; deepseek-chat stands for Non-Thinking mode, deepseek-reasoner for Thinking mode. The API is OpenAI-compatible and supports, among other things, JSON Output, Tool Calls, Chat Prefix Completion, and, in the case of deepseek-chat, additionally FIM Completion.

## Claim
LLM "Build with the latest DeepSeek models"

## Geeignet für
- API Integration
- Automation / Workflows
- Data Analysis
- Data Extraction / Document Analysis
- Programming / Software Development
- Research

## Kernfunktionen
- Chatbot
- Function Calling
- AI Agents
- AI Inference
- LLM API
- Open Source Model
- Programming
- Reasoning Model
- Language Model
- Text Generation

## Preismodell
- **other:** **Token-based API usage** Billing based on input, output, and cache-hit/cache-miss tokens.


**deepseek-v4-flash** Faster, more efficient model with Thinking and Non-Thinking mode, 1M context, JSON output, tool calls, and chat prefix completion.


**deepseek-v4-pro **More powerful model for more complex reasoning, coding, agents, and long contexts; also supports 1M context, JSON output, and tool calls.


**OpenAI-/Anthropic-compatible API** Usage via an OpenAI-compatible base URL or an Anthropic-compatible endpoint; suitable for existing SDKs and agent tools.


**Open Weights / Self-hosting path** DeepSeek-V4 was released as an open-weights family; self-hosting requires your own infrastructure and should be considered separately from the official API.

## DSGVO und Datenschutz
**Gesamteinschätzung:** No

**Overall assessment of hosting & data: **

The DeepSeek API is a managed API service with OpenAI- and Anthropic-compatible API formats. Technically, DeepSeek offers strong price-performance options, 1M context, Thinking/Non-Thinking modes, JSON output, tool calls, context caching, FIM completion, and integration with agent/coding tools. Another positive aspect is that DeepSeek-V4 was released as an open-weights model family, which means a transparency or self-hosting path for the model weights fundamentally exists; however, this is not identical to the official DeepSeek API. Critical concerns remain regarding data processing in China, possible use for training/improvement, unclear GDPR contractual status, and the lack of assured EU data residency. 


**Conclusion: **

DeepSeek is very attractive for cost-sensitive technical applications, coding, agents, and large contexts; for personal, confidential, or regulated EU data, the official API is only advisable with additional legal and technical review.


[DeepSeek Privacy Policy](https://cdn.deepseek.com/policies/en-US/deepseek-privacy-policy.html)

**GDPR assessment:** From a GDPR perspective, the DeepSeek API is critical for EU companies or only suitable after careful review. 


**Positive **is that DeepSeek lists rights for EEA, Swiss, and UK users in its Privacy Policy, describes technical and organizational security measures, and states that it does not engage in targeted advertising, the sale of personal data, or automated decision-making that creates profiles with legally significant effects. 


**Negative** is that, according to its Privacy Policy, DeepSeek collects, processes, and stores personal data directly in the People’s Republic of China. In addition, DeepSeek states that its purposes include, among other things, improving and developing the services as well as training and improving ML models and algorithms, including User Input. I was unable to reliably verify a publicly available GDPR DPA/AVV, SCC setup, or EU data residency offering in the official API documentation. 


**Server location: **People’s Republic of China. Further link: DeepSeek Privacy Policy and API Docs.


[DeepSeek Privacy Policy](https://cdn.deepseek.com/policies/en-US/deepseek-privacy-policy.html)

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

## Standort
**Land:** China

**Taxonomie:** China

No verified official full address data available on the DeepSeek website/policy

## Vorteile
- Very affordable API prices in the official pricing.
- Well suited for coding, reasoning, tool use, and agentic workflows.
- OpenAI-compatible API, which makes integrations easier.
- Open-source/MIT license strategy for the model weights.
- According to the terms, relatively extensive usage rights for outputs.

## Nachteile
- The current API portfolio is narrow: officially only two model IDs.
- Critical for EU/GDPR-sensitive use, because according to its Privacy Policy, DeepSeek processes and stores personal data directly in the People's Republic of China.
- According to its Privacy Policy, DeepSeek generally also uses personal data to improve the services and to train/optimize the technology; an opt-out is provided, but it is not the default.
- No clearly publicly documented classic enterprise tiers; according to the FAQ, there are no tiered plans and rate limits are dynamic.
- DeepSeek itself points out that outputs may be erroneous and should not be considered professional advice.

## Quellen
- Offizielle Website: https://api-docs.deepseek.com/quick_start/pricing

## Letzter Datenstand
2026-04-17

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