ChatGPT vs DeepSeek
Which should you use? A side-by-side look at what each one does, who it suits, what it costs, how hard it is to set up, and where each falls short.
AI tool · Freemium
OpenAI's general-purpose AI assistant for writing, analysis, coding help, image generation and file analysis.
Open source · MIT
An open-source agent harness built on a plugin-first design, run from a local Web UI.
Our verdict
ChatGPT is a finished, general-purpose assistant for everyday writing, analysis, images and file uploads, usable straight away in a browser or app. DeepSeek Harness (dsh) is an open-source developer tool for building and extending agents with plugins, and it is still in developer preview with breaking changes expected. They serve different people, so for most non-technical users ChatGPT is the practical choice, while DeepSeek suits developers who want to experiment.
Pick ChatGPT if you want a ready-to-use assistant for writing, brainstorming, analysing uploaded files or generating images without any setup.
Pick DeepSeek if you are a developer comfortable with the command line and Node.js who wants an extensible, open-source agent harness to experiment with.
| Key difference | ChatGPT | DeepSeek |
|---|---|---|
| Type | General-purpose AI assistant for everyday tasks | Open-source developer tool for agent harnesses |
Written with AI from both products' catalogue entries · updated 2026-10-29
Who each one is for
Choose ChatGPT if you need…
- General writing and brainstorming
- Data analysis on uploaded files
- Image generation and editing
Choose DeepSeek if you need…
- Developers who want to experiment with an agent harness they can extend with plugins
- Developers already interested in the Cordis plugin model
- People comfortable running a local dev tool from the command line
- Plugin authors who want to publish to the dsh-plugin topic
Side-by-side
| ChatGPT | DeepSeek | |
|---|---|---|
| Type | AI assistants · General assistants | Dev tool |
| Price | Freemium | Free and open source (hosted plans: freemium) |
| Licence | — | MIT |
| GitHub stars | — | 269k |
| Setup difficulty | — | Intermediate |
| How you get it | — | Install with a package manager |
| Platforms | Web, iOS, Android, macOS, Windows, API | Web, iOS, Android, API |
| Works with | Google Workspace, Slack, Zapier | — |
| Main language | — | TypeScript |
| Last code update | — | 7 days ago |
| Hands-on tested by us | Not yet | — |
| Last checked | 2026-10-29 | — |
What each one is
ChatGPT
OpenAI's general-purpose AI assistant for writing, analysis, coding help, image generation and file analysis. The broadest all-rounder with a large feature set. Features and limits differ a lot between free and paid tiers, and outputs still need fact-checking.
DeepSeek
DeepSeek Harness (dsh) is an open-source agent harness from DeepSeek AI, built so that nearly every part is a plugin. It runs on Cordis, a plugin framework the README links to, and can be started as a local Web UI. The README describes it as being in developer preview, so the interface and APIs may change.
Best for
ChatGPT
- General writing and brainstorming
- Data analysis on uploaded files
- Image generation and editing
DeepSeek
- Developers who want to experiment with an agent harness they can extend with plugins
- Developers already interested in the Cordis plugin model
- People comfortable running a local dev tool from the command line
- Plugin authors who want to publish to the dsh-plugin topic
Strengths
ChatGPT
- Chat with file and image uploads
- Built-in image generation
- Web search with sources
- Custom GPTs and projects
DeepSeek
- Built on a stated everything-is-a-plugin architecture
- Can be started quickly with a single npx command, per the README
- Documentation, a Discord community and GitHub Discussions are linked from the README
Not ideal for
ChatGPT
—
DeepSeek
- Users who need a stable production system, since the README warns of compatibility-breaking changes during developer preview
- Anyone who has not read the SAFETY.md notice, which the README asks users to review before running it
- Non-technical users looking for a finished consumer app; the README assumes Node.js or a repository checkout
Trade-offs
ChatGPT
—
DeepSeek
- The README explicitly says it is in developer preview with breaking changes expected
- The README is truncated and gives limited detail on features and models supported
- Requires understanding of Node.js or pnpm and a local dev workflow
Getting started
DeepSeek
Run from npm
npx @deepseek-ai/dsh webClone the repository
git clone https://github.com/deepseek-ai/deepseek-harness.gitFrequently asked questions
Should I use ChatGPT or DeepSeek?
ChatGPT is a finished, general-purpose assistant for everyday writing, analysis, images and file uploads, usable straight away in a browser or app. DeepSeek Harness (dsh) is an open-source developer tool for building and extending agents with plugins, and it is still in developer preview with breaking changes expected. They serve different people, so for most non-technical users ChatGPT is the practical choice, while DeepSeek suits developers who want to experiment. Pick ChatGPT if you want a ready-to-use assistant for writing, brainstorming, analysing uploaded files or generating images without any setup. Pick DeepSeek if you are a developer comfortable with the command line and Node.js who wants an extensible, open-source agent harness to experiment with.
What is the difference between ChatGPT and DeepSeek?
ChatGPT: OpenAI's general-purpose AI assistant for writing, analysis, coding help, image generation and file analysis. DeepSeek: An open-source agent harness built on a plugin-first design, run from a local Web UI. ChatGPT suits general writing and brainstorming, while DeepSeek suits developers who want to experiment with an agent harness they can extend with plugins.
Are ChatGPT and DeepSeek free?
ChatGPT: Freemium. DeepSeek: Free and open source (hosted plans: freemium).
What are other alternatives to ChatGPT and DeepSeek?
Other options people compare them with include Claude, Gemini, Grok, Kimi, Le Chat (Mistral).
Keep comparing
Built from our catalogue entries for both products: open-source details come from each project's README (AI-assisted, refreshed weekly) and GitHub data; AI-tool details are editorial. Spotted something wrong? Let us know from either product's page.