WLRouter

Models/kimi-k2.7-code

Model Code

kimi-k2.7-code

Model overview

Text generationVision understandingDeep thinking

Kimi-K2.7-Code is Kimi's strongest coding model to date. It follows instructions more reliably in long-context coding tasks, completes programming work with a higher success rate, and supports text, image, and video input, thinking mode, chat, and agent tasks.

Company: Moonshot AIProvider: Alibaba Cloud

Model capabilities

Input modalityT

Output modalityT

Model experience✓

Function calling✓

Structured output-

Web search-

Prefix completion-

Context cache✓

Batch inference✓

Fine-tuning-

Model pricing

Input$0.9701/1M tokens

Input (cache hit)$0.194/1M tokens

Explicit cache write$1.21/1M tokens

Explicit cache hit$0.09701/1M tokens

Output$4.03/1M tokens

Rate limits and context

Maximum input length224K

Context length256K

Maximum output length16K

RPM500

TPM1000000

API reference

EndpointPOST /v1/chat/completions

SDKOpenAI-compatible

API code examples

Get API Key

from openai import OpenAI

client = OpenAI(
    api_key="$WLROUTER_API_KEY",
    base_url="https://api.wlrouter.com/v1"
)

response = client.chat.completions.create(
    model="kimi-k2.7-code",
    messages=[
        {"role": "user", "content": "Reply with one short sentence."}
    ],
    max_tokens=32,
    extra_body={"enable_thinking": True}
)

print(response.choices[0].message.content)