In short
DeepSeek is dramatically cheaper (often 95% less than GPT-5 API) and matches ChatGPT on math, coding, and reasoning benchmarks. ChatGPT wins for UX, image/video generation, voice, and the comfort of US-based data jurisdiction. For builders: DeepSeek via API. For everyday use: ChatGPT.
ChatGPT
by OpenAI · since 2022
DeepSeek
by DeepSeek (China) · since 2023
Capability scorecard
Scored 0-10. Higher is better.
DeepSeek-R2 matches GPT-5 on MATH benchmark.
GPT-5 slightly ahead on SWE-Bench; DeepSeek strong but trails.
ChatGPT produces more polished, natural prose.
DeepSeek has no native image gen.
No video model in DeepSeek.
DeepSeek is text-only.
DeepSeek input: $0.14/M, output: $2.19/M. GPT-5: $5/M, $15/M.
DeepSeek models are MIT-licensed and self-hostable.
ChatGPT data stays in OpenAI servers (US/EU); DeepSeek hosted in China (self-host avoids this).
ChatGPT's web app is significantly more refined.
When to pick which
Real use cases, decided by quality (not vendor bias).
Building a chatbot for your SaaS at scale
DeepSeek API saves 95% on costs at similar quality.
Daily knowledge work as a marketing manager
ChatGPT's UX, plugins, and image gen win for daily use.
Coding agent for a developer team
GPT-5 + Canvas slightly ahead; Claude Code is the actual best choice.
Self-hosting an LLM on-prem
DeepSeek models are MIT-licensed. ChatGPT is closed.
Generating product images
DeepSeek has no image model.
Math-heavy reasoning (engineering, science)
Both score 95%+ on MATH; DeepSeek-R2 is 95% cheaper to run at scale.
Government / regulated industry use
OpenAI offers enterprise data agreements; DeepSeek's Chinese jurisdiction is a hard no for some.
Indie hacker building MVP on a $50/mo budget
DeepSeek API costs cents per day at low traffic; GPT-5 burns through credits.
The verdict
If you're building a product on top of LLMs, DeepSeek's API is a no-brainer: same quality, 95% cheaper. If you're an end-user who needs images, video, voice, or wants data to stay in the US, stick with ChatGPT Plus. Many teams use both: DeepSeek for backend processing, ChatGPT for human-facing work.
Frequently asked questions
Is DeepSeek really 95% cheaper than ChatGPT?▾
On API pricing, yes. DeepSeek-R2 input is ~$0.14/M tokens vs GPT-5 at ~$5/M (35x cheaper). Output: $2.19/M vs $15/M (~7x cheaper).
Is DeepSeek safe to use?▾
For non-sensitive work, yes. For corporate/regulated data, the Chinese data jurisdiction is a real concern. Most enterprises self-host the open-source weights instead.
Is DeepSeek open source?▾
Yes. DeepSeek-V3.5 and R2 weights are released under MIT license. You can self-host them for free with appropriate GPU infrastructure.
Can DeepSeek generate images or video?▾
No. DeepSeek is text-only. For images you need ChatGPT, Midjourney, or Gemini. For video: Sora or Veo.
Is DeepSeek better than ChatGPT at coding?▾
Very close. GPT-5 slightly edges it on SWE-Bench; DeepSeek wins on cost-to-quality ratio. For pure quality, Claude Opus 4.7 still leads.
Should my team switch from OpenAI to DeepSeek?▾
If you're API-heavy and quality difference is acceptable: yes, save 90%+ on infrastructure. If you depend on OpenAI features (Sora, Voice, GPTs): keep ChatGPT.
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