OpenAI
Mainland China, Hong Kong and Macau are not on OpenAI's published list of supported countries and territories, and that page warns that using the service outside the listed territories can get an account blocked or suspended.
Model comparison
Three things decide most of these choices before capability ever comes up: what a million tokens costs, how much context you get, and whether you can open an account at all. This page states those three and stops there.
Availability
Sign-up needs no mainland-China company entity and no mainland-China phone number. A new dashboard account starts with $2 of trial credit.
Both providers in the table publish a list of the countries and territories they serve. Check that list first, because no price comparison matters if the account cannot exist.
Mainland China, Hong Kong and Macau are not on OpenAI's published list of supported countries and territories, and that page warns that using the service outside the listed territories can get an account blocked or suspended.
Mainland China, Hong Kong and Macau do not appear on Anthropic's published list of supported countries and regions, for either commercial API access or Claude.ai.
Price and context
ChinaAPI rows are generated from our catalog. OpenAI and Anthropic rows come from a versioned reference file whose every entry records the vendor page it was read from and the date it was read; those vendors' own pages are authoritative.
| Model | Available through | Context | Price (USD) |
|---|---|---|---|
| glm-5 | ChinaAPI | 200K | $1/M input, $3.6667/M output tokens |
| glm-5-turbo | ChinaAPI | 200K | $1.2/M input, $4.4571/M output tokens |
| glm-5.1 | ChinaAPI | 200K | $1.4/M input, $4.4/M output tokens |
| glm-5.2 | ChinaAPI | 1M | $1.4/M input, $4.4/M output tokens |
| gpt-5.6-sol | OpenAI | 1.05M | $5/M input, $30/M output tokens |
| gpt-5.6-terra | OpenAI | 1.05M | $2/M input, $12/M output tokens |
| gpt-5.6-luna | OpenAI | 1.05M | $0.2/M input, $1.2/M output tokens |
| Claude Fable 5 | Anthropic | 1M | $10/M input, $50/M output tokens |
| Claude Opus 5 | Anthropic | 1M | $5/M input, $25/M output tokens |
| Claude Sonnet 5 | Anthropic | 1M | $2/M input, $10/M output tokens |
| Claude Haiku 4.5 | Anthropic | 200K | $1/M input, $5/M output tokens |
Token prices are shown as input and output per one million tokens.
Token-model rates are synchronized from the gateway and may follow providers' official China list prices where configured. Live pricing is authoritative.
Price notes
The rate in the table is the current published rate, not a permanent one. Check the live source before you build a budget on it.
This is an introductory rate that Anthropic's pricing page says runs through August 31, 2026. From September 1, 2026 the same page lists $3 per million input tokens and $15 per million output tokens.
Quickstart
Swap the model identifier for any ChinaAPI row in the table above. If your code already targets an OpenAI-compatible client, the base URL and the key are the only changes.
Store the key in an environment variable and keep it out of source control.
curl -X POST https://api.chinaapi.ai/v1/chat/completions \
-H "Authorization: Bearer $CHINAAPI_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "glm-5.2",
"messages": [{"role": "user", "content": "Hello from ChinaAPI"}]
}'
Scope
Every row on this page is a number you can check against a published source: a price, a context window, or a statement about who may open an account. There is no row for reasoning, coding or instruction-following, because we have not measured them. Our bench harness is not published yet, and until it is, a ranking from us would be a preference presented as a measurement.
That is a real limitation, not a hedge, so here is the position it leaves us with: use this page to rule options out on cost, context and account eligibility, and use your own evaluation set to choose among whatever survives. If a comparison page tells you which model is smarter and shows you no task, no sample count and no failure definition, it is selling something.
Known gaps
A missing row is a deliberate choice. Each gap below is something a comparison page is expected to state and that we could not source from a page we can re-check, so we left it out rather than fill it in from memory.
Context windows for OpenAI model generations before gpt-5.6. Those models appear on the pricing page but their context sizes were not stated on the model reference page we read, so they are left out of the table rather than filled in from memory.
Same rule everywhere: checkable facts only, no quality ranking.
ChinaAPI model names, context values and USD prices on this page are generated from the ChinaAPI model catalog on August 10, 2026. Live pricing in the dashboard is authoritative.
Third-party figures were read from each vendor's own documentation on 2026-08-10. That is a dated snapshot, not a live feed: the vendor's own page stays authoritative, and rates change without notifying us. Check the source before you commit a budget to a number here.