DeepSeek Chat

Consumer assistant for chat, search, and multimodal tasks from DeepSeek.

Score calculation

(2 + 4 + 2 + 1 + 7) ÷ 5 = 3.2

5 of six dimensions rated. Unrated dimensions are excluded from the average.

Full scoring method ↗
Setup details

DeepSeek consumer website/app; excludes DeepSeek API and third-party deployments of released models.

What fits your needs

DeepSeek consumer website/app; excludes DeepSeek API and third-party deployments of released models.

Use and access

This entry covers DeepSeek consumer website/app; excludes DeepSeek API and third-party deployments of released models.. Check whether your use is covered by the listed consumer or developer interface.

See the evidence
Tradeoffs to expect

Data route

A hosted request is processed by the service and may pass through an upstream model host; confirm the route and terms before sending sensitive material.

See the evidence
How to switch

Test first

Try a routine, non-sensitive task and verify current account, model, and route settings before moving ongoing work.

See the evidence
Practical questions

Terms and controls

Review current privacy, service terms, pricing, endpoint, and model version for the account you plan to use.

See the evidence

Energy practices

2/10↑

For the DeepSeek consumer website and app boundary, public documentation establishes the service or route but not its request-level physical footprint. The consumer policy and product pages reviewed do not document a user-facing output-token budget or a control with established resource effects. Electricity sourcing is not mapped to this route.

See the evidence

This practices/transparency assessment covers the DeepSeek consumer website and app boundary. The sources establish how the service or endpoint is exposed and don’t confirm a documented resource-saving control; they do not give a measured per-request energy, emissions or water value. The disclosure point reflects the stated operating boundary, not a product footprint, and company-wide electricity reporting is not attributed to this route.

1 + 1 reporting + 0 electricity + 0 controls = 2/10. This grades documented practices and transparency.

The reviewed sources don’t confirm request-level electricity, emissions or water; the actual serving facility and its power mix are also not mapped to DeepSeek consumer website and app.

Reporting1/3
The reviewed documentation defines the DeepSeek consumer website and app boundary. It gives an operating-scope description, not a dated quantitative energy, carbon or water report for this route.
Electricity sourcing0/3
No reviewed source maps DeepSeek consumer website and app to a disclosed electricity mix or time-and-location-matched clean-power supply. The route's actual electricity use and emissions therefore remain unestablished.
Resource controls0/3
The consumer policy and product pages reviewed do not document a user-facing output-token budget or a control with established resource effects.

Water disclosure

Water reporting has not been assessed for this choice.

Training data

—Depends on the model↑

The consumer service may serve changing DeepSeek model versions; opt-out of using submitted conversations is separate from rights in the original model training data.

See the evidence

User prompts, model-improvement settings, and the original training data are different evidence questions. The reviewed product documentation does not identify a fixed model version and complete training-data rights record for DeepSeek consumer website/app; excludes DeepSeek API and third-party deployments of released models., so this assessment remains unscored.

Exact model selection, release version, source inventory, permissions, post-training data, and creator-remedy scope remain unresolved.

Your data & privacy

4/10↑

DeepSeek’s privacy policy covers prompts, files, voice and chat history, says personal data is processed and stored in China, and describes account controls including chat history management and a training opt-out.

See the evidence

The policy is explicit about data categories and China storage, and it describes options to manage chats and opt out of model-training use. However, those controls don’t show zero retention, a non-China processing route, or that all app features use identical handling.

No numerical score assigned because the reviewed evidence doesn’t confirm the route-specific controls needed for one.

Feature-specific deletion timing, human review access, and jurisdiction-specific routing remain relevant; review the live policy and settings.

Openness

2/10↑

This is a hosted service with a public interface but no documented self-hostable product runtime or weights in the reviewed sources.

See the evidence

The service provides a hosted product or API interface, while the reviewed product material does not expose the serving implementation and current model weights for independent deployment. This rates this service scope, not separately released model weights.

The score reflects service-level inspectability and control, not usefulness or model quality.

SDKs, APIs, or model families may have separate licenses and do not make this service itself self-hostable.

Worker protections

1/10↑

DeepSeek’s reviewed model, privacy and user-term materials don’t confirm employment conditions, a worker grievance route or labor assurance for its AI supply chain.

See the evidence

The sources reviewed provide product, terms, or corporate information but no qualifying disclosure about conditions for data annotators, evaluators, moderators, or infrastructure workers. This is a disclosure gap within the checked materials, not evidence that workers are mistreated or that no labor policy exists. These findings concern the developer or operator. This product’s use in a particular deployment needs separate evidence.

1 + 0 pay & conditions + 0 worker voice & remedy + 0 evidence & follow-through = 1/10. This grades documented worker safeguards, not a measured rate of mistreatment.

Worker counts, locations, pay, labor protections, worker voice mechanisms, supplier coverage, and independent audit or remediation outcomes were not established in the sources reviewed.

Pay & conditions0/3
Reviewed sources provide no qualifying disclosure of worker conditions; this zero is limited to the checked material and is not an exhaustive claim.
Worker voice & remedy0/3
No qualifying worker-voice mechanism or documented worker grievance outcomes were disclosed in the reviewed material.
Evidence & follow-through0/3
No independent labor audit results, worker-level corroboration, or remediation outcomes were disclosed in the reviewed material.
Workers rubric ↗

Military ties

7/10Not established↑

No DeepSeek military customer, contract or deployment is identified in the reviewed official sources.

See the evidence

DeepSeek’s reviewed official terms, privacy material and model disclosures do not identify a defense customer, military contract or deployment. Public model artifacts can be reused downstream, but that doesn’t confirm DeepSeek’s own military relationship or any customer-specific safeguard. These findings concern the developer or operator. This product’s use in a particular deployment needs separate evidence.

7 base + 0 safeguard adjustment = 7/10 (0 of 9 safeguard points; every 3 adds 1). No military relationship was established in the cited sources. This ranks above known defense ties without claiming a verified clean record.

Complete contract texts, undisclosed customers, end-use restrictions, actual workload deployment, and independent compliance or outcome reports are unavailable in the reviewed public material.

Use restrictions0/4
The reviewed terms or policy material contains no qualifying military-use restriction beyond general lawfulness/export compliance; this zero is limited to the reviewed source set.
Enforcement & oversight0/3
No military-specific review, enforcement, or remedy mechanism was disclosed in the sources reviewed.
Relationship disclosure0/2
No military-specific relationship or military-specific transparency policy was disclosed in the materials reviewed; this is a scoped disclosure finding.

DeepSeek’s model disclosures and user terms reviewed here do not identify a military contract, named defense customer, or military deployment. Its open model artifacts permit downstream uses, but that doesn’t show DeepSeek’s own military relationship.

Military rubric ↗

BDS targets

Not listed↑

We did not find DeepSeek among the named targets in the two official BNC campaign lists. This is a limited list check, not BDS approval.

See the evidence

DeepSeek is not a named target in the checked lists, but BDS uses selective campaigns, so absence cannot establish a clean record. Running downloaded weights locally is a different decision from paying the developer or a cloud host; check the host as well. These findings concern the developer or operator. This product’s use in a particular deployment needs separate evidence.

This review covers the named targets in the BNC consumer/pressure guide and No Tech campaign, not every BDS campaign, local group, investment or supplier. Lists and ownership can change. A company’s absence from these lists is not an endorsement or proof that it has no relevant relationships.

All sources

Side by side