Kimi K3 is Moonshot's flagship reasoning model with a 1M token context, always-on thinking, native web search, and text, image, and video inputs.
Moonshot AI文本生成1M 上下文发布日期 2026年7月15日International专有端点新Kimi K3 is Moonshot's flagship reasoning model with a 1M token context, always-on thinking, native web search, and text, image, and video inputs.
Supports text, image, and video inputs, function calling, JSON schema structured output, and built-in web search billed at $0.015 per invoked call. Thinking is always on with a tunable reasoning_effort control (max recommended); reasoning tokens are billed as output tokens. Temperature and other sampling overrides are fixed by the model service. Multi-step function calling must replay the assistant message with its reasoning_content field intact. Explicit cache controls, batches, and fine-tuning are not supported.
也称为 Moonshot AI Kimi K3, Kimi-K3
kimi-k3/v1/chat/completionsPOST/v1/responsesPOST/v1/messagesPOST/v1beta/models/kimi-k3:generateContentmoonshotai/kimi-k3来自 EmpirioLabs 目录的实时按量计费价格。只为实际用量付费，没有月度最低消费。
Kimi K3 提供 OpenAI 兼容的 Chat Completions API。用你的 EmpirioLabs API 密钥把任意 OpenAI SDK 指向 https://api.empiriolabs.ai/v1，并使用模型 ID kimi-k3。 在EmpirioLabs 控制台获取 API 密钥。
curl https://api.empiriolabs.ai/v1/chat/completions \
-H "Authorization: Bearer $EMPIRIOLABS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "kimi-k3",
"messages": [
{"role": "user", "content": "Write a haiku about the ocean."}
]
}'from openai import OpenAI
client = OpenAI(
base_url="https://api.empiriolabs.ai/v1",
api_key="YOUR_EMPIRIOLABS_API_KEY",
)
response = client.chat.completions.create(
model="kimi-k3",
messages=[{"role": "user", "content": "Write a haiku about the ocean."}],
)
print(response.choices[0].message.content)EmpirioLabs 上 Kimi K3 API 支持的请求参数。省略字段时使用默认值。
| 参数 | 类型 | 默认值 | 范围 / 值 | 描述 |
|---|---|---|---|---|
| max_tokens | number | 32768 | 1 到 1048576 | Maximum output tokens. Reasoning tokens count toward this limit. |
| stop | string | - | - | Up to 4 strings where the model will stop generating further tokens. |
| reasoning_effort | enum | max | low, medium, high, max | Kimi K3 reasoning effort. Thinking is always on. Higher effort spends more reasoning tokens before answering. Max is recommended and the default. |
| tool_web_search | boolean | false | - | Search the web for real-time information. Adds $0.015 to the request cost for each invoked web search call. |
| response_format | enum | - | - | Constrain the output to JSON. Use JSON mode for any valid JSON object, or JSON schema to force output that matches a schema you provide. |
Supports text, image, and video inputs with a 1M token context, function calling, JSON schema structured output, and built-in web search at $0.015 per invoked call. Thinking is always on; reasoning depth is tunable with the reasoning_effort control (max is recommended) and reasoning tokens are billed as output tokens. Temperature and other sampling settings are fixed by the model service. Multi-step function calling through the API must replay the assistant message with its reasoning_content field intact.
When this model invokes built-in tools inside a single request, the response carries a normalized usage.tool_usage map alongside the token counts. Tool counts are already factored into cost_usd and are surfaced for transparency.
在 EmpirioLabs，Kimi K3 按量计费：Input $3.00 per 1M prompt tokens; Output $15.00 per 1M generated tokens; Web search $0.015 per call when invoked。本页的实时价格表始终与 API 的实际计费一致。
Kimi K3 支持 1M token 的上下文窗口，每次响应最多 131,072 个输出 token。
兼容。Kimi K3 提供 OpenAI 兼容的 Chat Completions API，现有 OpenAI SDK 只需把 base_url 指向 https://api.empiriolabs.ai/v1 并把模型 ID 设为 kimi-k3 即可使用。
可以。EmpirioLabs Playground在浏览器中以与 API 相同的参数运行 Kimi K3，你可以在写代码之前先测试提示词。
创建 EmpirioLabs 账户，然后在控制台的 API Keys生成密钥。计费使用按量付费的额度，只为实际发出的请求付费。
