LLM Reference
Featherless

Kimi K2 Instruct on Featherless

Kimi K2 · Moonshot AI

ServerlessOpen Source

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

Why use Kimi K2 Instruct on Featherless?

Featherless offers Kimi K2 Instruct with pay-as-you-go pricing at $0.60/1M input tokens. Featherless is a serverless inference provider for a large catalog of third-party open text-generation models (40,000+).

Compare Kimi K2 Instruct across 6 providers to find the best fit for your use case
Input / 1M
$0.60
Output / 1M
$2.50
Cache
Not sourced
Batch
Not sourced

Setup recipe

Python + curl
Install
pip install openai
Auth
export FEATHERLESS_API_KEY=...
Call
import os
from openai import OpenAI
client = OpenAI(
    base_url="https://api.featherless.ai/v1",
Model ID
moonshotai/Kimi-K2-Instruct

Request example

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)

Gotchas

  • Use provider model ID "moonshotai/Kimi-K2-Instruct", not the LLMReference slug "kimi-k2-instruct".
  • Use exact Featherless catalog id in modelProvider.providerModelId (HF-style org/name). Not interchangeable with LLM Reference slugs.
  • The examples expect FEATHERLESS_API_KEY; rename it only if your application config maps the new variable.

Compare Kimi K2 Instruct Across Providers

ProviderInput (per 1M)Output (per 1M)
Fireworks AI$0.60$2.50
Together AI$1.20$4.50
NVIDIA NIM——
Vercel AI Gateway$0.57$2.30
Novita AI$0.57$2.30
View all 6 providers →

Pricing

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.

Get Started

Model Specs

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