Hugging Face: Kimi K3 (Hugging Face)

import Everstack from "@everstack/node";const client = new Everstack({  apiKey: process.env.EVERSTACK_API_KEY!,  baseUrl: "https://{instance}.{region}.everstack.ai",});const completion = await client.chat.completions.create({  model: "@huggingface/moonshotai__Kimi-K3",  messages: [{ role: "user", content: "Explain vector cache routing." }],});console.log(completion.choices[0]?.message?.content);

Endpoint

Base URL

https://router.huggingface.co/v1

Chat completions

https://router.huggingface.co/v1/chat/completions

Model

moonshotai__Kimi-K3

Auth env

HUGGINGFACE_API_KEY

Kimi K3 (Hugging Face) FAQ

How much does the Kimi K3 (Hugging Face) API cost?

Through Hugging Face, Kimi K3 (Hugging Face) costs $3.00 per 1M input tokens and $15.00 per 1M output tokens.

What is the context window of Kimi K3 (Hugging Face)?

Kimi K3 (Hugging Face) accepts up to 1M tokens of context and returns up to 131.1K output tokens on Hugging Face.

Which providers offer Kimi K3 (Hugging Face)?

Kimi K3 (Hugging Face) is available from NVIDIA NIM, Fireworks AI, Hugging Face, Moonshot AI and OpenRouter. Everstack can route between them with automatic fallback when one is unavailable.

What can Kimi K3 (Hugging Face) do?

Kimi K3 (Hugging Face) supports chat, function calling, image input and reasoning. It accepts text and image input.

How do I call Kimi K3 (Hugging Face) through Everstack?

Point any OpenAI-compatible SDK at your Everstack gateway and set the model to @huggingface/moonshotai__Kimi-K3. Everstack adds retries, provider fallback, caching, per-tenant budgets and OpenTelemetry traces for every request.

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