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DeepSeek - review

Name: DeepSeek - review
Item: DeepSeek
Rating: 7
Author: Piotr Olszewski

7.0/10

Chat available for free, API among the cheapest in its class (billed per token, roughly a fraction of Western model prices). You can run open weights yourself - then you only pay for your own infrastructure.

Last updated: Sep 30, 2026

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If you're counting costs and doing lots of code or math, DeepSeek is one of the best choices on the market - for little money you get solid quality, and open weights give you independence from providers.

DeepSeek is a Chinese AI model with open weights that built its reputation on code and mathematics - and on offering quality close to the top tier for a fraction of the competition's price. If you're counting costs or want to host the model on your own infrastructure, it's one of the first choices worth considering.

Strengths

Strong in programming and math - generates code, debugs, and conducts step-by-step reasoning at a level that usually suffices for everyday developer work.
Excellent value for money - free chat and cheap API deliver results comparable to more expensive models at significantly lower cost, which genuinely reduces your bill when handling large query volumes.
Open weights: you can download and run the model locally or on your own infrastructure, maintaining full control over your data without sending it outside.
Available from many external providers and through local deployment tools (e.g. Ollama), offering deployment flexibility that closed models don't provide.
Open license allows you to fine-tune the model for your own tasks and deploy it without dependency on a single provider.

Weaknesses

Official API runs on Chinese infrastructure, so with sensitive or corporate data you need to consciously assess privacy, jurisdiction and GDPR compliance. Self-hosting solves this, but requires your own hardware and maintenance.
On politically sensitive topics from a Chinese perspective, the model can be evasive or refuse to answer, which hinders research and internationally-focused content.
In creative tasks and natural English fluency it still falls behind leading Western models - this is more an engineering tool than a writing one.

What forWorks best for programming, debugging, mathematical tasks and logical reasoning, and anywhere you're processing large query volumes where API cost matters. Also well-suited as a self-hosted model when you need control over your data.

Who is this forFor developers and teams running products with high query volumes who need maximum value for money or the ability to host the model themselves.

AlternativesIf you need the best language fluency, creative work, or have strict requirements around data privacy and jurisdiction, go for leading Western models (e.g. Claude or GPT family) - though you'll pay noticeably more. Among open-weight models, Llama or Qwen are also alternatives.

VerdictIf you're counting costs and doing lots of code or math, DeepSeek is one of the best choices on the market - for little money you get solid quality, and open weights give you independence from providers. The main catch is the Chinese infrastructure of the official API and related privacy concerns, so for sensitive data either host the model yourself or choose a Western provider. Recommendation: for developers and budget-focused projects - definitely worth deploying; for creative texts and sensitive data processed through the official API - reach for a different model.