Use case

Model gateway for China-facing and global AI apps

Global AI products often need both frontier global models and China-focused model families. PEKPIK LLM gives teams a single gateway for evaluating GPT, Claude, Gemini, DeepSeek, Qwen, Kimi, GLM and Doubao by language, task and cost.

Request access Read quickstart View model catalog

Primary query

China AI model API

Why teams search for this

Compare Chinese and global model families in one evaluation process.

Route by language quality, task type and cost instead of provider habit.

Keep fallback options when one model underperforms in a region or language.

Use a single pricing and provisioning workflow for a mixed model stack.

Where PEKPIK fits

Good fit

OKApps serving both Chinese and English users.
OKTeams localizing AI features across markets.
OKProducts comparing Qwen, Kimi, GLM, Doubao and DeepSeek with GPT or Claude.

Check first

!Language quality must be tested with domain-specific content.
!Regional compliance and data handling should be reviewed before launch.
!Different model families can vary in tone, safety behavior and formatting.

OpenAI-compatible example

base_url swap

from openai import OpenAI

client = OpenAI(
    base_url="https://aiapiv2.pekpik.com/v1",
    api_key="sk-...",
)

response = client.chat.completions.create(
    model="claude-opus-4-7",
    messages=[{"role": "user", "content": "Summarize this for a product team."}],
)

Suggested rollout

01

Create separate prompt sets for each language and market.
02

Benchmark global and Chinese model families on the same tasks.
03

Choose routing rules by measured quality and cost.
04

Review privacy, compliance and user expectations before production use.

FAQ

Should China-facing apps use only Chinese model families?

Not always. Many teams compare global and Chinese models, then route by task and language quality.

Can PEKPIK support mixed model stacks?

Yes. The gateway is designed for access to multiple global and Chinese model families through one integration pattern.