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 AITextgenerierung1M KontextVeröffentlicht 15. Juli 2026InternationalProprietärer EndpointNeuKimi 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.
Auch bekannt als Moonshot AI Kimi K3, Kimi-K3
kimi-k3/v1/chat/completionsPOST/v1/responsesPOST/v1/messagesPOST/v1beta/models/kimi-k3:generateContentmoonshotai/kimi-k3Live Pay-as-you-go-Preise aus dem EmpirioLabs-Katalog. Du zahlst nur für das, was du nutzt, ohne monatliches Minimum.
Kimi K3 bedient die OpenAI-kompatible Chat Completions API. Richte ein beliebiges OpenAI SDK mit deinem EmpirioLabs API-Schlüssel auf https://api.empiriolabs.ai/v1 und verwende die Modell-ID kimi-k3. Hol dir einen API-Schlüssel im EmpirioLabs Dashboard.
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)Request-Parameter, die die Kimi K3 API auf EmpirioLabs unterstützt. Standardwerte gelten, wenn ein Feld weggelassen wird.
| Parameter | Typ | Standard | Bereich / Werte | Beschreibung |
|---|---|---|---|---|
| max_tokens | number | 32768 | 1 bis 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.
Auf EmpirioLabs wird Kimi K3 nach Verbrauch abgerechnet: Input $3.00 per 1M prompt tokens; Output $15.00 per 1M generated tokens; Web search $0.015 per call when invoked. Die Live-Preistabelle auf dieser Seite entspricht immer dem, was die API berechnet.
Kimi K3 unterstützt ein Kontextfenster von 1M Token mit bis zu 131.072 Ausgabe-Token pro Antwort.
Ja. Kimi K3 bedient die OpenAI-kompatible Chat Completions API. Bestehende OpenAI SDKs funktionieren, indem du base_url auf https://api.empiriolabs.ai/v1 setzt und als Modell-ID kimi-k3 verwendest.
Ja. Der EmpirioLabs Playground führt Kimi K3 im Browser mit denselben Parametern aus, die die API bietet. So kannst du Prompts testen, bevor du Code schreibst.
Erstelle ein EmpirioLabs-Konto und generiere dann einen Schlüssel unter API Keys im Dashboard. Die Abrechnung erfolgt über Pay-as-you-go-Guthaben, du zahlst also nur für deine Requests.
Schauen Sie sich unsere Preise an oder kontaktieren Sie uns, wenn Sie Ihr eigenes Modell auf unserem Stack implementieren möchten.
