Kimi K2.7 Code

New
Moonshot (Kimi)All Moonshot (Kimi) models

Input

$0.95

USD / 1M tokens

Output

$4.00

USD / 1M tokens

Released

2026-06

Positioning: Balanced. Price level 2 of 4 among text models.

Kimi's coding specialist — long-horizon software engineering with leaner thinking tokens. Kimi K2.7 Code is a Moonshot (Kimi) text model on ATP Token, billed per 1M input and output tokens, with a lower cached-input rate.

ThinkingToolsVision

Pricing

Pay for what you use: credits are deducted only when a request succeeds.
Prices in USD · $1 = 100 credits
Input
$0.95
Cache read
$0.19
Output
$4.00
USD / 1M tokens

Moonshot (Kimi) · Family · USD / 1M tokens

Text models from the same vendor on ATP. Bars fill up to the family's highest price.
All Moonshot (Kimi) models
ModelInputOutput
Kimi K3kimi-k3$3.00$15.00
Kimi K2.6kimi-k2.6$0.95$4.00
Kimi K2.7 Code This pagekimi-k2.7-code$0.95$4.00

Cost per 1,000 typical requests

A quick estimate with fixed token counts per request. No caching, no retries. Try the estimator with your own numbers.
WorkloadUSD / 1,000
Short chat turn800 / 400$2.36
RAG answer4,000 / 500$5.80
Agent step with tools20,000 / 1,500$25.00

Benchmarks

Vendor-reported
  • Kimi Code Bench v262.0

    Moonshot in-house benchmark; thinking mode via Kimi Code CLI, temperature 1.0, top-p 0.95, 262,144-token context

    Moonshot AI
  • Program Bench53.6

    thinking mode via Kimi Code CLI

    Moonshot AI
  • MCP Atlas76.0%

    official config, 100 tool-call budget, 32k max tokens per step; avg of 3 runs

    Moonshot AI

Scores as published by each vendor, not measured by ATP. Test conditions vary, so they are not directly comparable across vendors.

Same controls on every model: project keys, per-project model access, credit budgets, and a log of every request.Set up your organization

Cost estimator

Plug in your usage to see roughly what a month costs.
0200
0100
ESTIMATE
$17.50
USD / month
1,750 credits / month
  • Input$9.50
  • Output$8.00

$17.50 USD / month · 1,750 credits / month

An estimate at our USD prices (USD 1 = 100 credits). What each request actually cost shows up in your console's request log. Cached input is billed at the lower cache-read price, so you may spend less.

Quickstart

Keep your SDK. Point it at ATP and use a project key. Read the docs
quickstart.py · OpenAI SDK
from openai import OpenAI

client = OpenAI(
  base_url="https://api.atptoken.ai/v1",
  api_key="atp-•••"
)

r = client.chat.completions.create(
  model="kimi-k2.7-code",
  messages=[{"role":"user","content":"hi"}],
)

Compare with similar models

Same type and positioning, from other vendors, closest in price first.
Compare side by side

FAQ

4
Can Kimi K2.7 Code use tools, read images, or think before answering?
Kimi K2.7 Code supports tool calling, vision input and extended thinking, but not audio.
Is cached input cheaper on Kimi K2.7 Code?
You pay per 1M input tokens and per 1M output tokens. Cached input costs 20% of the normal input price. You only pay when a request succeeds. $1 = 100 credits. See pricing
Is there a newer Moonshot (Kimi) model than Kimi K2.7 Code on ATP?
Yes. Kimi K3 (kimi-k3) came out on Jul 16, 2026, after Kimi K2.7 Code (Jun 2026), and is the newer Moonshot (Kimi) text option on ATP. Both stay available: compare family prices on this page, then turn on the id you want for your project.
How do I call Kimi K2.7 Code on ATP?
Create a project API key and point any OpenAI-compatible SDK at https://api.atptoken.ai/v1. Set model to "kimi-k2.7-code" (the API id, not the display name). Make sure the model is turned on for your project.
Get started

Start with $5. Credits never expire.

Create a project key, turn this model on, and pay only for what you use.