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Model cataloguexiaozhanAI
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xiaozhanAI

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Model ID

Put this value in the request body's `model` field — not the display name above.

Text generationReasoningImage understandingToolsJSON1MClosed source

by other · xiaozhanAI flagship chat model. 1.05M context, connected directly to the official OpenAI API, on the official Fast tier by default. Web search, image generation, tool calling and image input, with adjustable reasoning effort; very long prompts are priced in a separate tier. It can also write code in a cloud sandbox to produce Word, Excel, PowerPoint and PDF files: use it directly in AI Chat on this site, or over the API with the shell / code_interpreter tools of /v1/responses and /v1/containers to fetch the files.

Try it now

Quick start

EndpointPOST /v1/chat/completions
AuthenticationAuthorization: Bearer sk-gpushare-…Get API key
Call styleSynchronous: one request returns the result
Base URLhttps://api.dflop.top/v1
cURL
curl https://api.dflop.top/v1/chat/completions \
  -H "Authorization: Bearer sk-gpushare-xxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "xiaozhanAI",
    "messages": [
      {"role": "user", "content": "你可以帮我做什么"}
    ]
  }'

Pricing

Billed per token: input and output are priced separately and settled on the upstream's reported usage.

Rates
Input 0.1213Credits/K·Output 0.6066Credits/K
  • Input tokens that hit the prompt cache are billed at 12.13 Credits / 1M — cheaper than full-price input.
  • Tokens written into the prompt cache for the first time are billed at 151.65 Credits / 1M — above full-price input. The cache lives about 5 minutes, so it only pays off if you call again within that window.
  • When a turn's prompt exceeds 272,000 tokens, input, cache-hit and output all switch to the long-context rates (input 242.64 Credits / 1M). That is the upstream's whole-turn surcharge for very long requests, passed straight through.
  • With web search or tools enabled, each server-side tool call costs 8.088 Credits on top of tokens, independent of token count. Turns that use no tools incur no such charge.
  • Failed requests (upstream 4xx / 5xx) are not billed.
  • All your API keys share one balance; when it runs out the API returns HTTP 402 `quota_exceeded`.

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Capabilities & specs

Category
Text generation
Context window
1M tokens
Default max output
128k tokens
Endpoint family
Chat Completions
Protocols
OpenAI Chat · OpenAI Responses
Released
2026-10-11
License
Closed source
Health
29 min ago

Try it

Pick a key under "API access" and fire one real request to see the response — the estimated cost is shown before you send.

Try it in chat

Common errors

404 model_not_found

You passed the display name instead of the model ID.✗ xiaozhanAI→✓ xiaozhanAI

→ Copy the Model ID at the top of this page

402 quota_exceeded

Insufficient account balance. All your API keys share one balance.

→ Add funds in your account

401 / 403

The API key is invalid, or it has a model allowlist that doesn't include this ID.

→ Check the key's status and allowed models

400 invalid_request

A request body field is invalid, or this model doesn't support the protocol endpoint you called.

→ Check your request body against the sample code above

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xiaozhanAI FAQ

How do I call xiaozhanAI?
Set the model field of the request body to xiaozhanAI, send it to https://api.dflop.top/v1/chat/completions, and put your key (it starts with sk-gpushare-) in the Authorization: Bearer header. The official OpenAI, Anthropic and Google Gemini SDKs all work directly; just point base_url at this gateway.
How much does the xiaozhanAI API cost?
  • ·Input: 121.32 credits (≈ ¥2.02 / ≈ $0.3) per 1M tokens
  • ·Output: 606.6 credits (≈ ¥10.11 / ≈ $1.5) per 1M tokens
  • ·Cached input: 12.13 credits (≈ ¥0.202 / ≈ $0.03) per 1M tokens
  • ·Cache write: 151.65 credits (≈ ¥2.53 / ≈ $0.375) per 1M tokens
  • ·Long-context tier (prompt ≥ 272,000 tokens): input 242.64 credits (≈ ¥4.04 / ≈ $0.6), output 909.9 credits (≈ ¥15.17 / ≈ $2.25)
  • ·Per server-side tool call (web search etc.): 8.09 credits (≈ ¥0.135 / ≈ $0.02)
  • ·Per output image: 170.66 credits (≈ ¥2.84 / ≈ $0.422)
  • ·Prices are in credits: 60 credits = ¥1. Each call first holds the most it could cost, then settles on actual usage and refunds the difference.
How large is xiaozhanAI's context window?
1,050,000 tokens, with a default output limit of 128,000 tokens per request.
What can xiaozhanAI do?
Image input, Tool calling, Thinking mode, Web search, JSON mode, Image generation. Compatible protocols: OpenAI Chat Completions, OpenAI Responses.

Input price is about $0.3 per 1M tokens. Markdown version of this page (Chinese): /models/xiaozhanAI.md