Using Kimi in OpenCode

OpenCode is a terminal-based coding agent. This guide shows how to forward OpenCode model requests to Kimi For Coding via built-in authentication, with K3 or K2.8 Preview providing the model inference.

Install OpenCode

The easiest way to install OpenCode is through the installation script:

curl -fsSL https://opencode.ai/install | bash

Or install via npm:

npm install -g opencode-ai

Configure API key

Run opencode auth login and select Kimi For Coding from the provider list:

$ opencode auth login
┌  Add credentials
│
◆  Select provider
│  ● Kimi For Coding
│  ...
└

Enter your Kimi For Coding API Key:

$ opencode auth login
┌  Add credentials
│
◇  Select provider
│  Kimi For Coding
│
◇  Enter your API key
│  _
└

API Keys can be created and managed in the Kimi Code Console (up to 5 keys; each key is shown only once at creation).

Launch and use

After configuring, start OpenCode:

$ opencode

Type /models in a session:

/models

Pick a model under the Kimi For Coding list.

Recommended model launch

K2.8 Preview is now fully rolled out in Kimi Code — kimi-for-coding is upgraded in place with no configuration changes: performance close to K3, with low / high / max thinking effort levels and up to 1M context. See What's New.

Before you start, check your membership tier and what it entitles you to — calling models or context windows beyond your plan will fail with an error:

Tier	Available models	Context window
Andante	K2.8 Preview	Up to 1M
Moderato	K3 K3-256K K2.8 Preview	K3: 256K K3-256K: 256K K2.8 Preview: up to 1M
Allegretto and above	K3 K3-256K K2.8 Preview K2.7 Code HighSpeed	K3: up to 1M K3-256K: 256K K2.8 Preview: up to 1M K2.7 Code HighSpeed: 256K

With K3 or K2.8 Preview selected, type /variants to switch the thinking effort:

/variants

Thinking effort mapping

OpenCode offers the variants Default / low / high / max, mapped to K3's actual effort levels as follows (full mapping table in Model configuration):

OpenCode variant	K3 actual effort
Default	high (K3) / max (K2.8 Preview)
low	low
high	high (recommended)
max	max

Both K3 and K2.8 Preview support low / high / max; K2.7 Code HighSpeed does not require this setting.

See Model configuration for model capabilities and setup details.

Next steps

• Model configuration — Compare the models and see the full effort mapping table
• Membership Benefits — Confirm which models are available for your plan