DeepSeek vs ChatGPT
A low-cost model API versus the best-known assistant. Here's what you trade off.
Our verdict
Choose DeepSeek if you call a model through an API at volume and cost per token matters most. Choose ChatGPT if you want a ready-to-use app with no setup. For non-technical teams ChatGPT is the practical choice; DeepSeek suits developers building their own workflows. Review each vendor's data terms before sending business data to either.
DeepSeek
Very low-cost frontier-class models. Since 10 Sep 2026 the workhorse is V4.1 Flash on the deepseek-flash API id at $0.15–$0.30 in / $0.60–$1.20 out per 1M (off-peak/peak), with image input and MIT open weights; V4 Pro requests route to V4.1 Flash from 14 Sep 2026.
ChatGPT
The most popular AI assistant for writing, brainstorming, research and everyday business tasks. Since 2026-07-23 the macOS and Windows desktop apps add ChatGPT Voice, powered by GPT-Live: you talk through work, start several jobs from one conversation and let Chat, Work and Codex agents keep running in the background. Included on Plus, Pro, Business, Edu and Enterprise.
Frequently asked questions
Why would a small business use DeepSeek instead of ChatGPT?
DeepSeek's API pricing is substantially lower per token, which matters if you're calling a model programmatically at volume. ChatGPT is the better choice for a polished, ready-to-use consumer app that needs no setup.
Is DeepSeek as capable as ChatGPT?
On several published benchmarks DeepSeek's frontier models are competitive with comparable OpenAI models, though the two differ task by task. See the AI benchmarks page on this site for dated, unaltered scores rather than a general claim.
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