Moonshot AI: Kimi K2 Instruct

Non-thinking Kimi K2 MoE instruction model for coding and tool-using agents

Model lab: Moonshot AI
Model family: kimi-k2

Model resources

Hugging Face

Modalitiestext → text

Context window131,072

Maximum output32,768

InputUSD 0.4 / 1M tokens

OutputUSD 1.6 / 1M tokens

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Quickstart

Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to moonshotai/kimi-k2-instruct.

import os
import requests

base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "moonshotai/kimi-k2-instruct"

response = requests.post(
    f"{base_url}/chat/completions",
    headers={
        "Authorization": f"Bearer {api_key}",
        "Content-Type": "application/json",
    },
    json={
        "model": model_id,
        "messages": [{"role": "user", "content": "Hello!"}],
        "stream": False,
    },
    timeout=60,
)
response.raise_for_status()
print(response.json())

Use the familiar OpenAI-style chat request format to make model integration easier.

Kimi K2 Instruct API Pricing

Type	Price information
Input	USD 0.4 / 1M tokens
Output	USD 1.6 / 1M tokens

Performance

Performance trends

Throughput88.4 tok/sCurrent

Time to first token1.5 sCurrent

End-to-end latency7.1 sCurrent

Throughput

Current88.4 tok/s

Window average88.9 tok/s

Time to first token

Current1.5 s

Window average1.4 s

End-to-end latency

Current7.1 s

Window average7.5 s

Tail latency (P99)

Current14.3 s

Window average16.5 s

Prompt cache hit rate

Current18.4%

Window average24.7%

Error rate

Current0.0%

Window average0.1%

Availability

Uptime100%At least one provider responded

Availability100%Requests actually served

Error rate0%Share of failed requests

Served requests, hour by hour

24 hours agoNow

Kimi K2 Instruct Compare models

Model	Input price	Output price	Context window	Capabilities
Kimi K2 InstructThis page	USD 0.4 / 1M tokens	USD 1.6 / 1M tokens	131,072	Text output · Tool calling
Kimi K2 Instruct 0905	USD 0.48 / 1M tokens	USD 2 / 1M tokens	262,144	Text output · Tool calling
Kimi K2 0711	USD 0.456 / 1M tokens	USD 1.84 / 1M tokens	131,072	Text output · Tool calling
Kimi K2.7 Code	USD 0.44 / 1M tokens	USD 1.8 / 1M tokens	262,144	Text output · Reasoning · Tool calling
Kimi K2.7 Code Highspeed	USD 1.52 / 1M tokens	USD 6.4 / 1M tokens	262,144	Text output · Reasoning · Tool calling

Model specifications

Input: text
Output: text
Context window: 131,072
Maximum output: 32,768
Release date: 2025-07-11
Attachments: No
Reasoning: No
Tool calling: Yes
Temperature setting: Yes
Open weights: Yes

Frequently asked questions

What is Kimi K2 Instruct for?

Non-thinking Kimi K2 MoE instruction model for coding and tool-using agents

What inputs and outputs does Kimi K2 Instruct support?

Recorded inputs: text; outputs: text.

How is Kimi K2 Instruct priced?

The pricing table shows the current recorded Moduck price. For example: Input USD 0.4 / 1M tokens; Output USD 1.6 / 1M tokens. See the pricing table for all units, variants, and conditions.

What specifications are recorded for Kimi K2 Instruct?

Current model records list Context window 131,072 tokens; Maximum output 32,768 tokens.

What model parameter does the Quickstart use?

The example uses moonshotai/kimi-k2-instruct. This value comes from the page identifier and is not confirmed as a callable Moduck public ID.

Can I call this model through the Moduck API now?

This page has no verified Moduck API call for this model. A Quickstart example or reserved ID does not establish access; check the models available to your account.