Moonshot AI gateway details

Moonshot's Kimi LLM API, focused on long-context Chinese text; ideal for document parsing, knowledge bases, and long-text processing.

Best for: For Chinese long-document, knowledge-base, contract, and report processing apps.

Current status

Test yourself

Latency reference

Depends on your deployment

/models check

See the platform docs

Last verified

Not verified yet

Status notes

Test plain responses, streaming, error codes, and rate limits yourself before launch.

Pricing mode

Billed by Moonshot's context-length model tiers; specific prices per the official docs.

Price tags

Standard price, Pay-as-you-go

Free quota

Refer to the official console.

Usually you create an API key in the platform console, then replace the SDK's baseURL, model name, and auth details per the docs. Test streaming, function calling, error codes, and rate limits before launch.

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.AI_GATEWAY_API_KEY,
  baseURL: "see the platform docs"
});

const response = await client.chat.completions.create({
  model: "Moonshot",
  messages: [{ role: "user", content: "Test one call through an AI gateway." }]
});

• Supported models: Moonshot.
• Capabilities: OpenAI-compatible, Streaming, Function calling, Balance query.
• Documentation completeness: High; editorial stability score 4.2 / 5.

• Mainly covers Moonshot/Kimi models; not suitable as a multi-provider aggregation platform.
• Third-party relay pricing, models, and availability can change, so re-check them periodically.

Is Moonshot AI compatible with the OpenAI API?

This entry is marked as supporting the OpenAI-compatible format, but the exact base_url, model names, and parameters still follow the official docs.

Is Moonshot AI ready for production?

Run a small-traffic load test, rate-limit test, and error-code test first, and confirm the billing rules; keep a backup provider for important workloads.