Moonshot

Kimi K2.5

moonshot/kimi-k2.5
/v1/chat/completions/v1/messages/v1/responses/v1beta/models/*/v1/models/*

Kimi K2.5 是 Kimi 迄今最智能的模型,在 Agent、代码、视觉理解及一系列通用智能任务上取得开源 SoTA 表现。同时 Kimi K2.5 也是 Kimi 迄今最全能的模型,原生的多模态架构设计,同时支持视觉与文本输入、思考与非思考模式、对话与 Agent 任务。 Kimi K2.5 在原有全栈开发与工具生态优势基础上,进一步强化前端代码质量与设计表现力前端能力,实现了跨越式突破,支持从自然语言直接生成功能完整、视觉精美的交互界面,并能精准处理动态布局、滚动动画等复杂效果。

Input / output modalities
文本 · 图像 to 文本
Reference input / output price
Input¥4Output¥21per 1M tokens
Context window
256K
Added to catalog
Jan 27, 2026

Providers and pricing

ProviderInput /MOutput /MCached /MContextMax outputDetails
Moonshot AI¥4¥21¥0.7256K32K
Ali¥4¥21¥0.8256K16K

Moonshot AI

Latency
2.62s
Throughput
76 tokens/s
Context
256K

Pricing

Input
¥4/M tokens
Output
¥21/M tokens
Cached
¥0.7/M tokens

Specifications

Context
256K
Max output
32K
Supported APIs
/v1/chat/completions/v1/messages/v1/responses/v1beta/models/*/v1/models/*

Ali

Latency
1.13s
Throughput
55 tokens/s
Context
256K

Pricing

Input
¥4/M tokens
Output
¥21/M tokens
Cached
¥0.8/M tokens

Specifications

Context
256K
Max output
16K
Supported APIs
/v1/chat/completions/v1/messages/v1/responses/v1beta/models/*/v1/models/*

Kimi K2.5 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-k2.5", 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}")
                
              

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