DaoXE fronts xAI's Grok family in the standard OpenAI shape: POST /v1/chat/completions with a Grok model ID; /v1/responses is available on IDs that support it. Existing OpenAI SDK code works unchanged — only the base URL and key change. Where the real cost split comes from: cheapest APIs guide.
Call Grok through DaoXE#
Chat path: /v1/chat/completions with Authorization: Bearer. Grok reasoning IDs account for thinking at the usage level: usage.completion_tokens_details.reasoning_tokens reports how many completion tokens went to thinking.
curl --fail-with-body --show-error --silent \
https://daoxe.com/v1/chat/completions \
-H "Authorization: Bearer ${DAOXE_API_KEY}" \
-H "Content-Type: application/json" \
-d '{
"model": "YOUR_EXACT_MODEL_ID",
"max_tokens": 64,
"messages": [{"role": "user", "content": "Say hello in one sentence."}]
}'# xAI reasoning IDs report thinking at the USAGE level, not the message
# level: reasoning_tokens appear in usage.completion_tokens_details. If your
# billing dashboards ignore that detail, cache tokens and thinking tokens both
# look like ordinary completion spend.
from openai import OpenAI
client = OpenAI(base_url="https://daoxe.com/v1", api_key="YOUR_DAOXE_KEY")
r = client.chat.completions.create(
model="YOUR_EXACT_MODEL_ID", # a grok-* id from GET /v1/models
messages=[{"role": "user", "content": "2+2? Think briefly, then answer."}],
)
print(r.choices[0].message.content)
details = r.usage.completion_tokens_details
print(getattr(details, "reasoning_tokens", None)) # thinking, counted hereHow Grok exposes reasoning#
xAI reports thinking as an accounting detail, not a message field: usage.completion_tokens_details.reasoning_tokens counts the completion tokens consumed by reasoning. The chain of thought itself is not returned. That makes Grok the cheapest of the three shapes to log — the numbers are already in your usage stream — and the least inspectable, since there is nothing to read, only to count.
Grok-specific notes#
- Reasoning shows in usage, not in the message. Unlike APIs that add a separate thinking field on the message, xAI reports
reasoning_tokensinsideusage.completion_tokens_details— if your billing or audit tooling only reads top-level usage numbers, thinking spend is invisible to it. - Responses surface exists. xAI exposes an OpenAI Responses-compatible endpoint; check whether the specific ID you pin declares it before routing Responses-shaped traffic.
- Exact IDs from the live list. Grok versions move; copy IDs from
GET /v1/models, not from launch posts.
What it costs#
One balance, one top-up rate
Top-up runs at a flat 1 RMB = $1 of credit on every payment method, and each model then bills at its own USD rate — live per-model rates are on the live pricing page. That rate is the same on Alipay, WeChat Pay, USDT, bank card (Visa · Mastercard), Apple Pay and Google Pay — one balance, shared by every model in the catalog, with no plan to choose and no monthly minimum. Rates are account-scoped and do change, so confirm with one small top-up rather than trusting a number in a guide.
Verify you actually get the model#
Prove the endpoint works before blaming the client — if this fails, no setting will fix it:
export DAOXE_API_KEY="your_api_key"
# List the exact model IDs your account can call
curl --fail-with-body --show-error --silent \
https://daoxe.com/v1/models \
-H "Authorization: Bearer ${DAOXE_API_KEY}"Confirm connectivity, then diff a fixed prompt at temperature 0 against the official xAI API to make sure the tier matches:
Verify us — don't trust us
Point the open benchmark at DaoXE and at the official API and compare at temperature 0. Then learn to detect model swapping so a cheaper endpoint can't quietly swap you to a smaller model.
Frequently asked questions#
Do I need an xAI console account?
No — Grok models ride on your single DaoXE key with normal catalogue IDs from GET /v1/models.
Where did the thinking tokens go?
Into usage.completion_tokens_details.reasoning_tokens. Read them there for cost attribution.
Which endpoints work for Grok?
OpenAI-compatible chat (/v1/chat/completions) and the Responses surface on supporting IDs.
How much does Grok cost here?
Per-model, account-scoped — see live pricing. Top-up is a flat 1 RMB = $1 of credit on every payment method.
Try DaoXE — and benchmark it yourself
One key for GPT, Claude, Gemini, DeepSeek and more. Point the open benchmark at us and compare — don't take our word for it.