Moonshot

Kimi-thinking-preview

moonshot/kimi-thinking-preview
/v1/chat/completions/v1/messages/v1/responses/v1beta/models/*/v1/models/*

Kimi-thinking-preview是月之暗面提供的具有多模态推理能力和通用推理能力的多模态思考模型,它最长支持128k上下文,擅长深度推理,帮助解决更多更难的事情。

Input / output modalities
文本 · 图像 to 文本
Reference input / output price
Input¥200Output¥200per 1M tokens
Context window
128K
Added to catalog
Jul 15, 2025

Providers and pricing

ProviderInput /MOutput /MCached /MContextMax outputDetails
Moonshot AI¥200¥200¥0128K128K

Moonshot AI

Latency
4.88s
Throughput
92 tokens/s
Context
128K

Pricing

Input
¥200/M tokens
Output
¥200/M tokens
Cached
¥0/M tokens

Specifications

Context
128K
Max output
128K
Supported APIs
/v1/chat/completions/v1/messages/v1/responses/v1beta/models/*/v1/models/*

Kimi-thinking-preview code examples and API guide

Modelmesh normalizes requests and responses across service providers behind one consistent API.

Modelmesh provides an OpenAI-compatible Completion API for more than 300 models and service providers. Call it directly, through the OpenAI SDK, or with supported third-party SDKs.

Modelmesh-specific request headers in these examples are optional. When supplied, your application can appear on the Modelmesh rankings.

Supported endpointsSelect an endpoint to switch the example below.
/v1/chat/completions
from openai import OpenAI API_KEY = "$SSY_API_KEY" client = OpenAI( base_url="https://router.shengsuanyun.com/api/v1", api_key=API_KEY, ) try: completion = client.chat.completions.create( model="moonshot/kimi-thinking-preview", messages=[{"role": "user", "content": "Which number is larger, 9.11 or 9.8?"}], temperature=0.6, top_p=0.7, stream=True, ) response_text = "" for chunk in completion: if chunk.choices and chunk.choices[0].delta.content is not None: content = chunk.choices[0].delta.content print(content, end="", flush=True) response_text += content except Exception as error: print(f"Request failed: {error}")
                
              

Related Models