Kimi K2.7-Code API

Capabilities

Context window

262,144 tokens

Output budget

Route-specific; default completion budget is 32,768 tokens

• Coding assistance
• Document analysis
• Tool workflows
• reasoning
• streaming
• function_calling
• caching
• structured_output
• vision

API pricing

Input

$0.76 USD per 1M tokens

Output

$3.2 USD per 1M tokens

Cached input

$0.15200000000000002 USD per 1M tokens

Model introduction

Coding and tool workflows with text, image, and video understanding in a 256K context. Start with text code and test output. For multi-step tool use, keep complete assistant messages, including reasoning and tool calls. The official model accepts tool_choice auto or none; do not assume forced tool selection works.

Specifications and limits

Thinking cannot be disabled. Leave sampling parameters at their defaults: temperature 1, top_p 0.95, n 1, and zero presence/frequency penalties. The default output budget is not a maximum.

Getting started

Create a BulkToken API key

Create a key in API Keys and save it as BULKTOKEN_API_KEY on your server.

Configure the client

Use https://bulktoken.ai/v1 and model ID kimi-k2.7-code.

Send your first request

Call POST /v1/chat/completions. Start with text input and review actual usage in Usage Logs.

FAQ

Which model ID should I use?

Use kimi-k2.7-code exactly. The model must be published and available to your API key.

How is usage priced?

BulkToken charges 80% of the official reference rates (20% off). See the model pricing for applicable token categories.

Code examples

See [the Kimi K2.7-Code integration guide](/docs/kimi-k2.7-code) for Python, Node.js, and cURL examples. Install openai for the Python example.

Python

import os
from openai import OpenAI

client = OpenAI(api_key=os.environ["BULKTOKEN_API_KEY"], base_url="https://bulktoken.ai/v1")
stream = client.chat.completions.create(
    model="kimi-k2.7-code",
    messages=[{"role": "user", "content": "Explain a hash table in one sentence."}],
    stream=True,
)
for chunk in stream:
    if chunk.choices and chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="", flush=True)

cURL

curl https://bulktoken.ai/v1/chat/completions \
  -H "Authorization: Bearer $BULKTOKEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "kimi-k2.7-code", "messages": [{"role": "user", "content": "Hello!"}], "stream": true}'