ChatGPT alternatives
By Daniel Reeve · tested and updated September 2026
DeepSeek is frequently considered by users who care about coding, reasoning and cost-conscious AI access. It can be useful, but privacy, availability and business suitability should be checked carefully.
Quick answer
Do not choose DeepSeek on its low-cost reputation alone, because we could not confirm the current rates at source. Choose it, if at all, after you have read the data-handling terms and decided they fit your obligations.
Decision map
Developers and technical users who compare multiple model families.
Sensitive enterprise work without a reviewed plan, contract and data policy.
Use DeepSeek for one implementation, ChatGPT for another, then compare tests and edge cases.
The two questions
| Area | Useful for | Watch out for |
|---|---|---|
| Coding | Useful for code explanation, debugging and alternative implementations. | Always run tests and review security. |
| Reasoning | Can be strong on structured technical tasks. | Benchmarks do not guarantee your exact workflow. |
| Cost sensitivity | Often evaluated by users who want capable AI without paying for every premium tool. | Availability and plan terms can change. |
| Business privacy | Needs careful review before uploading confidential data. | Use official policies and internal approval. |
What we could and could not verify
DeepSeek publishes less specification than the other vendors here. Rather than fill the gap with figures from comparison blogs, this is what we could confirm at source on 2026-09-10.
DeepSeek's API documentation lists deepseek-v4-pro, deepseek-v4-flash and an experimental deepseek-v4-flash-vision-exp with image input. The flash model is documented as updated to DeepSeek-V4-Flash-0731 and the pro model to DeepSeek-V4-Pro-0813.
The documentation states the DeepSeek API “uses an API format compatible with OpenAI/Anthropic”, which is a genuine practical advantage: switching costs are low and you can evaluate it against your existing code.
We could not read current per-token rates from the official pricing page when we checked. The low-cost reputation is widely repeated; we are not going to repeat a number we could not confirm.
Not published on the pages we could reach. If context size is your deciding factor, confirm it in the API docs for the specific model before you commit.
Sources
Every figure on this page was read from the official documentation below on 2026-09-10. Prices, limits and model names change without notice — the source is authoritative, this page is not.
FAQ
Widely reported as such, but we could not confirm current per-token rates on the official pricing page when we checked on 2026-09-10, so we are not printing a figure. For a verified low-cost comparison, GPT-5.6 Luna at $0.20 in / $1.20 out and Claude Haiku 4.5 at $1.00 / $5.00 are both documented.
The API documentation lists deepseek-v4-pro, deepseek-v4-flash and deepseek-v4-flash-vision-exp, which accepts image input and is marked experimental.
That is a jurisdiction and data-retention question rather than a model-quality one, and it deserves a real answer before use rather than after. Read the terms for the endpoint you would use and check them against your own obligations and any client confidentiality clauses.
Technically, yes — the documentation states the API format is compatible with OpenAI and Anthropic, so evaluation is cheap. Whether you should is the data question above.
It has a strong reputation for reasoning and code relative to its cost. We have not measured it ourselves, and we would rather say so than present a reputation as a finding. Our test protocol includes it in the model set.