Moonshot AI: Kimi K2 Instruct 0905

September 2025 Kimi K2 instruction update with a 256K context and improved agentic coding

Model lab: Moonshot AI
Model family: kimi-k2

Model resources

Hugging Face

Modalitiestext → text

Context window262,144

Maximum output98,304

InputUSD 0.48 / 1M tokens

OutputUSD 2 / 1M tokens

Try now View docs

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-k2-0905.

import os
import requests

base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "moonshotai/kimi-k2-0905"

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 0905 API Pricing

Type	Price information
Input	USD 0.48 / 1M tokens
Output	USD 2 / 1M tokens

Benchmarks

Intelligence Index · v4.315.3

Coding Index—

Agentic Index—

Performance

Output speed47.44 tokens/s

Time to first token1.18 s

Time to first answer token—

End-to-end response time—

Performance trends

Throughput47.44 tok/sCurrent

Time to first token1.18 sCurrent

End-to-end latency7.7 sCurrent

Throughput

Current47.44 tok/s

Window average48.8 tok/s

Time to first token

Current1.18 s

Window average1.2 s

End-to-end latency

Current7.7 s

Window average7.5 s

Tail latency (P99)

Current17.7 s

Window average17.0 s

Prompt cache hit rate

Current31.3%

Window average23.4%

Error rate

Current0.0%

Window average0.2%

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 0905 Compare models

Model	Input price	Output price	Context window	Capabilities
Kimi K2 Instruct 0905This page	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 Instruct	USD 0.4 / 1M tokens	USD 1.6 / 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: 262,144
Maximum output: 98,304
Release date: 2025-09-05
Attachments: No
Reasoning: No
Tool calling: Yes
Temperature setting: Yes
Open weights: Yes

Frequently asked questions

What is Kimi K2 Instruct 0905 for?

September 2025 Kimi K2 instruction update with a 256K context and improved agentic coding

What inputs and outputs does Kimi K2 Instruct 0905 support?

Recorded inputs: text; outputs: text.

How is Kimi K2 Instruct 0905 priced?

The pricing table shows the current recorded Moduck price. For example: Input USD 0.48 / 1M tokens; Output USD 2 / 1M tokens. See the pricing table for all units, variants, and conditions.

What specifications are recorded for Kimi K2 Instruct 0905?

Current model records list Context window 262,144 tokens; Maximum output 98,304 tokens.

What model parameter does the Quickstart use?

The example uses moonshotai/kimi-k2-0905. 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.