Kimi K2.7 Code API — pricing & specs

Kimi K2.7 Code accepts text, images and video for coding and tool workflows. Thinking stays enabled; this standard tier has its own price. On KeepRouter, Kimi K2.7 Code costs $0.9700 per 1M input tokens and $4.03 per 1M output tokens, billed pay-as-you-go with no monthly fee. Call it through a compatible KeepRouter endpoint supported by its active route, with the model id kimi-k2.7-code.

Maker	Moonshot AI
Modality	Text, vision, video
Context window	262,144 tokens
Input price	$0.9700 per 1M tokens
Output price	$4.03 per 1M tokens
Cached input	$0.2000 per 1M tokens
Capabilities	Video input, Vision (image input), Chat completions, Streaming where supported, Tool calling where supported
Endpoint	POST /v1/chat/completions or POST /v1/messages (compatible chat routes)
Model id	`kimi-k2.7-code`

How pricing works for Kimi K2.7 Code

Kimi K2.7 Code is billed per token — $0.9700 per 1M input tokens and $4.03 per 1M output tokens, with cached input at $0.2000 per 1M tokens. The published price is pay-as-you-go, with no monthly fee; actual request cost depends on measured token usage.

Calling Kimi K2.7 Code on KeepRouter

Point a compatible client at the supported KeepRouter endpoint and set the model to kimi-k2.7-code. KeepRouter preserves the client-facing request shape while handling upstream routing or translation. Use POST /v1/chat/completions or, on compatible chat routes, POST /v1/messages; streaming and tool support depend on the model's active route.

cURL

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

Python

import os
from openai import OpenAI
client = OpenAI(base_url="https://keeprouter.com/v1", api_key=os.environ["KEEPROUTER_KEY"])
r = client.chat.completions.create(model="kimi-k2.7-code", messages=[{"role":"user","content":"Hello"}])

JavaScript

import OpenAI from "openai";
const client = new OpenAI({ baseURL: "https://keeprouter.com/v1", apiKey: process.env.KEEPROUTER_KEY });
const r = await client.chat.completions.create({ model: "kimi-k2.7-code", messages: [{ role: "user", content: "Hello" }] });

Estimate API costs

At the current KeepRouter customer price, an example workload of 1,000 total input tokens, no cached input, and 500 output tokens per request costs approximately $0.002985 per request. At 100 requests per day, that is $8.96 over 30 days. This is a usage estimate, excluding processing fees, taxes, retries and application infrastructure. Actual usage, cache hits and supported generation durations need their own checks.

Adjust quantities in the API cost calculator.

Model identity and official sources

Sources checked 2026-10-03.

Model limits and thinking

Moonshot AI documents 262,144 context tokens and text, image and video input. Thinking remains enabled for this model; disabling it is not a supported mode. Leave enough output budget for reasoning and the final answer.

Moonshot AI · exact model guide

Published prices and cache accounting

Use this page's live USD input, output and cached-input prices. Cached tokens are part of total prompt usage: subtract them from ordinary input before applying the separate cache rate. Standard Code and High-Speed are separate pricing IDs; do not substitute one ID's rates for the other.

Moonshot AI · cache accounting · KeepRouter · model prices

Text request verified

On October 3, 2026, a bounded text request for this exact ID returned HTTP 200, text and final token usage through KeepRouter Chat Completions. This small check does not verify media input, long-context capacity, cache hits or every tool workflow.

KeepRouter · Chat Completions reference

How to evaluate Kimi K2.7 Code

Kimi K2.7 Code is listed on KeepRouter as text, vision, video under the exact id kimi-k2.7-code. Use /v1/chat/completions for the listed route; a maker's upstream features do not automatically apply to this gateway endpoint. The published context window is 262,144 tokens. These are limits, not a recommended request size.

First workload: Start with a text question plus one representative image, then repeat the same question with text only. Compare answer quality, latency and billed input/output tokens.

Before production: For agent use, test tool calls and structured output on this exact model route before production; an OpenAI-compatible chat endpoint alone does not prove either feature.

Agent setup paths

OpenCode

OpenCode documents a custom OpenAI-compatible provider. Set baseURL to https://keeprouter.com/v1 and list kimi-k2.7-code as a model; validate tool behavior on the exact route. Official setup.

{
  "$schema": "https://opencode.ai/config.json",
  "provider": {
    "keeprouter": {
      "npm": "@ai-sdk/openai-compatible",
      "name": "KeepRouter",
      "options": {
        "baseURL": "https://keeprouter.com/v1",
        "apiKey": "{env:KEEPROUTER_API_KEY}"
      },
      "models": {
        "kimi-k2.7-code": {
          "name": "Kimi K2.7 Code"
        }
      }
    }
  }
}

Continue

Continue documents provider: openai with a custom apiBase. Set apiBase to https://keeprouter.com/v1 and model to kimi-k2.7-code; validate the selected feature and endpoint. Official setup.

name: KeepRouter
version: 0.0.1
schema: v1
models:
  - name: Kimi K2.7 Code
    provider: openai
    model: kimi-k2.7-code
    apiBase: https://keeprouter.com/v1
    apiKey: <YOUR_KEEPROUTER_API_KEY>

These are documented configuration paths; model-specific tool, streaming and multimodal behavior still needs a real request test.

Public model usage evidence

No public, exact-variant usage figure has been verified for this KeepRouter model id. Missing data is not zero usage; family-level or maker-wide traffic is not presented as this model's traffic.

Published examples and cases

No exact-model customer case has been verified for this entry. The workload above is an evaluation recipe, not a claim of a public deployment.

Source and verification boundary

Official Kimi K2.7 Code documentation. KeepRouter's live catalog is authoritative for the customer price and enabled endpoint shown here; the maker remains authoritative for upstream model capabilities and limits.

Pricing and implementation guides

Guides

Call Kimi K2.7 Code with the OpenAI SDK

Related models

Kimi K2.7 Code (High-Speed) by Moonshot AI — $1.94 per 1M input tokens and $8.06 per 1M output tokens
Kimi K2.6 by Moonshot AI — $0.9700 per 1M input tokens and $4.03 per 1M output tokens
Kimi K3 by Moonshot AI — $5.97 per 1M input tokens and $14.92 per 1M output tokens
Grok 4.7 by xAI — $4.00 per 1M input tokens and $12.00 per 1M output tokens
Magistral Medium by Mistral AI — $2.00 per 1M input tokens and $5.00 per 1M output tokens
Grok 4.3 by xAI — $1.25 per 1M input tokens and $2.50 per 1M output tokens

All models & pricing · Quickstart · KeepRouter vs OpenRouter · Glossary · Get an API key

Catalog facts and prices last changed 2026-10-03.

Page content reviewed 2026-09-28.