XJAI Review: Pricing & Comparison

OpenAI-focused: why some people stick to just GPT

In an era where “every model is available,” a meaningful share of developers still choose a “GPT-only” strategy:

• A mature toolchain: OpenAI’s Python SDK, function calling, Assistants API, and the rest of its ecosystem are the most complete
• Team familiarity: engineers who got into AI development early usually learned the OpenAI API first
• Dependence on specific models: for some tasks (like o1/o3-level deep reasoning), OpenAI is currently the only option that fits
• Internal policy: some companies’ IT policies only permit the use of OpenAI services

For this kind of user, XJAI’s positioning makes sense — it focuses on the OpenAI ecosystem rather than spreading resources across maintaining access quality for a large number of other models.

Azure grouping: when you need it

XJAI offers an Azure-grouping option. Azure OpenAI Service is Microsoft’s Azure-hosted version of OpenAI’s models, and it differs from directly accessing api.openai.com in a few ways:

Dimension	Direct OpenAI API	Azure OpenAI
Data storage	OpenAI (United States)	Azure regions (China region optional)
Compliance certification	OpenAI internal	Azure’s compliance framework (ISO/SOC2, etc.)
Latency	Depends on the node	Azure’s global CDN
Best fit	Individual developers	Enterprises with compliance requirements

Choosing XJAI’s Azure grouping means your requests are routed through Azure’s OpenAI endpoint, giving you a stronger compliance backing.

The real cost at a 0.9¥/USD exchange rate

GPT-5.5’s official price is around $2.5/M input tokens. Through XJAI (at ¥0.9/USD):

• The cost works out to roughly ¥2.25/M (compared to the official USD price converted to RMB at around ¥18/M)

That’s because XJAI isn’t offering a zero-markup direct connection — it’s aggregated purchasing with a certain discount built in. Check the official site for current live pricing.

from openai import OpenAI

client = OpenAI(
    api_key="your XJAI API key",
    base_url="https://new.xjai.cc/v1"
)

# An o-series reasoning model
response = client.chat.completions.create(
    model="o3-mini",  # check the official site for the currently supported model names
    messages=[{"role": "user", "content": "Solve this problem: ..."}]
)

Information verified 2026-07-04. Check XJAI’s official site for the current exchange rate and supported models.

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Related reviews

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• SBGPT — Azure-grouped, ultra-low ¥0.4-0.6 exchange rate: a cheaper Azure-grouping option
• GPTAPI.US — a long-stable OpenAI relay: an OpenAI-focused relay with a more established reputation

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