Chinese AI models for global developers
ModelBridge API
Use DeepSeek first, then Qwen, Kimi, GLM, Doubao, and Chinese multimodal routes through one OpenAI-compatible API, without Chinese phone numbers, RMB payments, or provider-specific dashboards.
Positioning
Not a low-price account pool. A focused bridge to Chinese models.
The router market is crowded with all-model discount hubs and subscription-to-API services. ModelBridge is narrower: a trusted entry point for global developers who want Chinese model coverage, English docs, USD credits, and visible usage controls.
No account sharing
Use official or compliant upstream APIs. Do not rely on shared subscriptions, browser reverse engineering, or hidden account pools.
China-stack focus
Start with DeepSeek, then add Qwen, Kimi, GLM, Doubao, SiliconFlow, PPIO, and Chinese multimodal providers by verified route.
Usage ledger
Track requests, tokens, charged amount, upstream estimate, latency, and gross margin for each account.
Prepaid credits
USD credits keep billing exposure explicit for developers testing Chinese model routes.
Competitive lane
Focused beats generic when the market is full of routers.
OpenRouter, APIMart, WorldRouter, and EasyRouter compete on all-model coverage and discount routing. ModelBridge should win a smaller job: make Chinese model access legible, payable, and usable for global developers.
| Market lane | Common promise | ModelBridge response |
|---|---|---|
| All-model routers | One key for every model and provider. | Do not compete on breadth first. Build the clearest Chinese model gateway. |
| Subscription-to-API services | Very low prices through shared plans or account resources. | Avoid account pools. Use compliant upstream APIs and disclose route limits. |
| Crypto token hubs | Anonymous payment, token packages, broad model access. | Keep Dodo/card checkout and transparent billing for early trust. |
| Cloud inference platforms | Enterprise-grade model hosting and dedicated deployments. | Stay lightweight: prepaid credits, OpenAI-compatible API, selected routes. |
Quickstart
Switch an OpenAI client in three lines.
During MVP, use your configured backend endpoint. The hosted static site is the public product surface; the dashboard can point at a local or deployed API backend.
from openai import OpenAI
client = OpenAI(
api_key="sk-mb-your-virtual-key",
base_url="https://YOUR_API_BACKEND/v1"
)
response = client.chat.completions.create(
model="deepseek-chat",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)