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DeepSeek vs OpenAI API

DeepSeek logo

DeepSeek

AI

Chinese AI lab offering reasoning models via web and API

From
Free
Free plan
Yes
Full reviewWebsite
OpenAI API logo

OpenAI API

Machine Learning

Hosted API for OpenAI's language, embedding, image and audio models, billed per token

From
$0.15/per-million-tokens
Free plan
No
Full reviewWebsite

The short version

  • Only DeepSeek has a free tier, so it costs nothing to try first.
  • Each has a real cost: DeepSeek specific pricing details not published on homepage; API pricing page referenced but content not available; OpenAI API cost scales with tokens rather than with seats, so a successful feature's bill grows with its adoption, and an interface that lets users paste long documents has no natural ceiling on spend unless you build one yourself.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which DeepSeek and OpenAI API actually diverge.

Attributes where DeepSeek and OpenAI API differ
AttributeDeepSeekOpenAI API
Starting priceFree$0.15/per-million-tokens
Pricing modelfreemiumusage-based
Free tierYesNo
PlatformsWeb, iOS, Android, APIApi
CategoryAIMachine Learning
FoundedUnknown2015

Identical on both: user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in DeepSeek

Nothing recorded that OpenAI API does not also cover.

Only in OpenAI API

  • Text and reasoning models
  • Embeddings
  • Speech and audio
  • Image generation
  • Function calling
  • Structured outputs
  • Batch processing
  • Prompt caching

What people use each for

The jobs each tool is most often brought in to do.

DeepSeek

  • Large language model and AI chat interfacenot OpenAI API
  • API-based AI service for developersnot OpenAI API
  • Natural language processing applicationsnot OpenAI API

OpenAI API

  • Adding summarisation, drafting or classification to an existing product where building a model would take longer than the product's whole roadmapnot DeepSeek
  • Retrieval-augmented question answering over internal documents, using the embedding and generation models togethernot DeepSeek
  • Extracting structured records from unstructured text, where schema-constrained output removes most of the parsing problemnot DeepSeek
  • Prototyping a language feature quickly to find out whether it is worth the cost of a self-hosted alternative laternot DeepSeek

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

DeepSeek

  • Specific pricing details not published on homepage; API pricing page referenced but content not available
  • No published tier information, costs, or feature limitations on main website
  • Free web interface available but API pricing models not disclosed

OpenAI API

  • Cost scales with tokens rather than with seats, so a successful feature's bill grows with its adoption, and an interface that lets users paste long documents has no natural ceiling on spend unless you build one yourself.
  • Models are deprecated on the vendor's timetable, and a fine-tuned model built on a retired base goes with it, so the tuning work and the data curation behind it must be redone rather than migrated.
  • Behaviour shifts between model versions in ways no test catches unless you wrote one, so prompts tuned over months against a particular snapshot can regress quietly on migration, which makes an evaluation suite a prerequisite rather than an improvement.
  • It cannot run inside your own network, so data residency requirements, air-gapped environments and contracts forbidding third-party processing rule it out regardless of the provider's own security posture.
  • You inherit its availability and its rate limits, so a provider incident is an outage in your product and a traffic spike can be throttled at precisely the moment the feature is proving itself.

Pricing, plan by plan

DeepSeek

Free
  • Web ChatFree
    • Conversation access
    • Latest model access
  • API$undefined/variable
    • Pay-per-token pricing
    • Multiple models available

OpenAI API

$0.15/per-million-tokens
  • GPT-4o mini$0.15/per-million-input-tokens
    • Fast
    • Affordable
  • GPT-4o$5/per-million-input-tokens
    • Multimodal
    • 128K context

Which should you pick?

Choose DeepSeek if

  • You want to start without paying.
  • You work on Web, iOS, Android, API.
DeepSeek review

Choose OpenAI API if

  • You need text and reasoning models.
  • You work on Api.
  • You also want embeddings.
OpenAI API review

Questions people ask

Is DeepSeek or OpenAI API better?
Neither clearly leads. DeepSeek starts at Free and OpenAI API at $0.15/per-million-tokens, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DeepSeek or OpenAI API?
DeepSeek has a free tier; the other does not. Paid plans start at Free for DeepSeek and $0.15/per-million-tokens for OpenAI API.
Does DeepSeek or OpenAI API run on more platforms?
DeepSeek runs on Web, iOS, Android, API. OpenAI API runs on Api.
Can I use DeepSeek for free?
Yes. DeepSeek has a free tier, so you can try it without paying. OpenAI API starts at $0.15/per-million-tokens.
What is DeepSeek best used for?
DeepSeek is most often used for large language model and ai chat interface, api-based ai service for developers, natural language processing applications. Of those, large language model and ai chat interface and api-based ai service for developers are not what OpenAI API is typically brought in for.
What can DeepSeek do that OpenAI API cannot?
OpenAI API covers Text and reasoning models, Embeddings, Speech and audio, Image generation.

Answered from the vendors’ own pages

DeepSeek: Does DeepSeek offer a free version?

Yes, DeepSeek offers free conversations through its web interface. Specific free tier limitations and API pricing are available at https://api-docs.deepseek.com/zh-cn/quick_start/pricing.

Source
OpenAI API: Is my data used to train the models?

API inputs and outputs are not used for training by default, which differs from the consumer product. Retention periods and enterprise terms change, so read the current data usage policy rather than trusting a summary.

DeepSeek: What is DeepSeek's pricing model?

DeepSeek references both free web-based conversations and paid API access. Detailed API pricing information is published on their API documentation site but not on the main homepage.

Source
OpenAI API: Can I run these models on my own hardware?

No. The weights are not distributed. If self-hosting is a requirement, you are looking at open-weight models instead, with the operational and quality trade-offs that implies.

DeepSeek: Can I use DeepSeek for commercial purposes?

DeepSeek's terms for commercial use are not clearly stated on the homepage. Contact DeepSeek or review their API documentation for commercial licensing and pricing information.

Source
OpenAI API: How is it priced?

Per token, with input and output priced differently and each model priced differently. Batch processing and cached input prefixes reduce it. The practical consequence is that your bill is a function of prompt design, not just of request count.

OpenAI API: What is the difference from Azure OpenAI Service?

The same model family delivered by Microsoft under an Azure contract, with Azure identity, networking and regional controls, and a different release cadence for new models. Enterprises with an Azure agreement often choose it for procurement and data residency reasons rather than technical ones.

OpenAI API: How do I keep the cost under control?

Cap input length, cache repeated prefixes, route easy requests to smaller models, use the batch path where latency does not matter, and set per-user limits before launch rather than after the first surprising invoice.

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