LLM Reference
Featherless

Using Kimi K2 Instruct on Featherless

Implementation guide · Kimi K2 · Moonshot AI

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Featherless exposes Kimi K2 Instruct through model ID moonshotai/Kimi-K2-Instruct. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-09-24. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at Featherless and generate an API key.
  2. 2
    Use the Featherless SDK or REST API to call moonshotai/Kimi-K2-Instruct — see the documentation for request format.
  3. 3
    You'll be billed $0.60/1M input, $2.50/1M output tokens. See full pricing.
API PortalDocumentationPricingModel Card

Code Examples

Install
pip install openai
API key
FEATHERLESS_API_KEY
Model ID
moonshotai/Kimi-K2-Instruct

Use exact Featherless catalog id in modelProvider.providerModelId (HF-style org/name). Not interchangeable with LLM Reference slugs.

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.featherless.ai/v1",
    api_key=os.environ["FEATHERLESS_API_KEY"],
)
response = client.chat.completions.create(
    model="moonshotai/Kimi-K2-Instruct",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)

Pricing on Featherless

TypePrice (per 1M)
Input tokens$0.60
Output tokens$2.50

Capabilities

ReasoningStructured Outputs

About Kimi K2 Instruct

Kimi K2 Instruct is an instruction-tuned language model from Moonshot AI, available via Fireworks AI.

Full model details →

Model Specs

Released2025-09-05
Parameters1T total, 32B active (MoE)
Context131k
ArchitectureDecoder Only

Also available on(5)

Vercel AI Gateway$0.57/1MNovita AI$0.57/1MFireworks AI$0.60/1M
Compare all providers →

Provider

Featherless
Featherless