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DeepSeek
Insurance sectorDeepSeek for the insurance sector
Open-weight (MIT) Chinese language model with a 1M context window and a built-in reasoning mode, at very low API costs.
DeepSeek isn't on our list for the insurance sector. Usable for general work, but first look at the options we recommend for the insurance sector.
- GDPR profileOur summary of what the provider itself publishes about your data: EU hosting possible, no training on your data for business use, and self-hosting available. Caution applies to a model with a documented problem, such as an investigation by a regulator. How we measure
- GDPR: Caution
- QualityQuality from blind duels on LMArena: users choose between two anonymous answers. A difference of about 20 points is noticeable, a few points is noise. How we measure
- 1475Elo, independent
- Editorial scoreOur own assessment on 10 of suitability for professional work, price and privacy. This is a judgement, not a measurement; that is why it always sits alongside the Elo. How we measure
- 7,4
- Entry price
- Free
What DeepSeek does in the insurance sector
- Assessing and routing claims (triage and allocation)
- Detecting fraud and risk patterns in real time at underwriting and claims
- Building premium calculations and bespoke underwriting models
- Supporting insurance advisers with customer insight and cover advice
- Very low API costs
- Open weights (MIT), self-hostable
- Strong at reasoning, maths and code
- Large context window (1M tokens)
DeepSeek has a specific GDPR concern. The DeepSeek service stores personal data in China and was blocked in January 2025 by the Italian regulator. Not recommended for regulated sectors unless you host the model yourself within the EU. Weigh this heavily before using it in the insurance sector.
Confidentiality and GDPR
GDPR: CautionAI systems for underwriting, premium calculation and claims handling fall under the EU AI Act (high risk for life insurance and health-related policies): human oversight, audit logs and explainability are mandatory. The DNB requires insurers to inform customers when AI has decision-making authority. Insurance data contains health and financial information, special category personal data under the GDPR. Only use solutions with a data processing agreement, EU hosting and explainable AI (XAI).
The DeepSeek service stores data in China and uses it for training by default (with an opt-out). Only an EU self-hosted variant of the open weights is defensible for sensitive data.
Prices
Other models for the insurance sector
Claude for the insurance sectorAnthropic · editorial 9.01506
ChatGPT for the insurance sectorOpenAI · edition 8.91485
Copilot for the insurance sectorMicrosoft · editorial 8.31485
Le Chat (Mistral) for the insurance sectorMistral AI · editorial 8.41426We don't know of a professional tool for the insurance sector that publicly runs on DeepSeek.
Questions about DeepSeek for the insurance sector
- Is DeepSeek suitable for the insurance sector?
- Not specific. DeepSeek isn't on our list for the insurance sector; it's broadly usable, but first look at the options we recommend for the insurance sector. Keep a professional in the loop for every use.
- May I put confidential data into DeepSeek?
- AI systems for underwriting, premium calculation and claims handling fall under the EU AI Act (high risk for life insurance and health-related policies): human oversight, audit logs and explainability are mandatory. The DNB requires insurers to inform customers when AI has decision-making authority. Insurance data includes health and financial information, special category personal data under the GDPR. Only use solutions with a data processing agreement, EU hosting and explainable AI (XAI). The DeepSeek service stores data in China and uses it for training by default (with opt-out). Only a self-hosted EU variant of the open weights is defensible for sensitive data.
- What does DeepSeek cost?
- There is Chat / app (Free), Self-hosted (Free), API (V4.1-Flash) ($0.15 / 1M in), API (V4-Pro) ($0.66 / 1M in). Check current prices on the official site.
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