# Calling Kimi K3 + 21 Other Models Through One OpenAI-Compatible Gateway

When Moonshot AI released the open weights of Kimi K3, the headline numbers got everyone's attention: 2.8 trillion parameters, Mixture-of-Experts architecture, and a 1-million-token context window. It quickly became a go-to choice for coding, long-document reasoning, and agent workflows.

But actually calling K3 in production can be a pain: you need a Moonshot account, a payment method, and your own key rotation. And what happens when you also want to try DeepSeek V4, GLM-5.2, Qwen3.7, or MiniMax M3? You end up juggling multiple providers, keys, and response formats — more DevOps than coding.

The fix is a single gateway that puts all of these models behind one OpenAI-compatible endpoint.

What Yingsuan AI Gateway does

Yingsuan AI Gateway exposes 21+ models — including Kimi K3, DeepSeek V4/V4-Flash/Vision, GLM-4.x/5.x, Qwen3.6/3.7, MiniMax M2.7/M3, and more — through a single https://yingsuan.top/v1 endpoint.

You get:

One API key for every model
OpenAI-compatible responses — swap base_url and api_key, done
Streaming support out of the box
1M-token context for models like K3
Visual understanding models for image→text tasks (OCR, document parsing, visual Q&A)
Automatic failover between upstream providers, so your app stays up when one provider is slow or unavailable
Pay-as-you-go by actual token usage, with no subscription lock-in

If you're building for Southeast Asia, payment can be done through Wise bank transfer — no credit card required.

Step 1: Grab a free key

Go to the free-key page and enter your email. The system issues a key instantly.

👉 Get a free API key

Free tier:

100 API requests
50 flagship-model credits (Kimi K3 / DeepSeek V4-Flash experience), valid through 2026-09-30
5 requests per minute
3 permanently free models: glm-4-flash, glm-4.7-flash, Qwen/Qwen2.5-7B-Instruct

Step 2: Try it with a free model

curl https://yingsuan.top/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "glm-4-flash",
    "messages": [{"role": "user", "content": "Explain JavaScript Promises in plain English"}],
    "max_tokens": 300
  }'

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://yingsuan.top/v1"
)

resp = client.chat.completions.create(
    model="glm-4-flash",
    messages=[{"role": "user", "content": "Write a debounce function in TypeScript"}],
    max_tokens=400,
)
print(resp.choices[0].message.content)

Step 3: Switch to Kimi K3

K3 is one of the flagship models. After claiming your free flagship credits (or topping up a prepaid balance), the code stays identical — just change the model name:

stream = client.chat.completions.create(
    model="kimi-k3",
    messages=[{"role": "user", "content": "Write a small agent that uses tool-calling to check the weather"}],
    stream=True,
)

for chunk in stream:
    if chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="")

What makes this useful for real apps

Drop-in replacement: Existing openai SDK code only needs a new base_url.
Model experimentation: Test K3 against DeepSeek or GLM without rewriting integrations.
Long context: Feed an entire repo, contract, or report in one prompt.
Resilience: The gateway routes around upstream slowdowns and outages.
Visual understanding: Use vision models to extract text from invoices, forms, or screenshots — no need to set up separate OCR pipelines.

Why it's trustworthy

Yingsuan AI Gateway is operated by a registered entity in China and its data-product/API-gateway services are listed on the Yunnan Provincial Data Circulation & Trading Platform under a dual-node mechanism. That gives the service a clear legal identity and public accountability, unlike an anonymous relay.