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Kimi K2.5 Turbo + OpenCode: Speed-First Coding Setup

Set up OpenCode with Kimi K2.5 Turbo for fast, cheap agentic coding. Moonshot provider config, model IDs, pricing and cache discounts, and the common fixes.

MGMCSA Guru Team July 9, 2026 3 min read
OpenCode configured with Kimi K2.5 Turbo via Moonshot on Windows

Kimi’s K2 Turbo variants trade some of the deep-reasoning focus for raw speed, which is exactly what you want in an interactive coding loop. Pair one with OpenCode — free, open, terminal-first — and you get a responsive agent that doesn’t keep you waiting between edits, at pay-per-token rates.

This is the speed-first OpenCode + Kimi setup. For OpenCode’s general provider model, see OpenCode custom providers.

Why Turbo for an agent

Agentic coding is a tight loop of read, edit, run, read again. A faster model shortens every step, so the session feels fluid rather than stop-start. K2 Turbo is built for that throughput. Keep K2 Thinking in reserve for the genuinely hard problems where reasoning depth beats speed.

Step 1: Install OpenCode and get a Moonshot key

npm install -g opencode-ai

Sign up on the Moonshot platform and create an API key. On Windows, WSL gives the cleaner shell — see install OpenCode on Windows with WSL.

Step 2: Add the Kimi provider

{
  "$schema": "https://opencode.ai/config.json",
  "provider": {
    "moonshot": {
      "npm": "@ai-sdk/openai-compatible",
      "name": "Moonshot Kimi",
      "options": {
        "baseURL": "https://api.moonshot.ai/v1",
        "apiKey": "{env:MOONSHOT_API_KEY}"
      },
      "models": {
        "kimi-k2-turbo": { "name": "Kimi K2 Turbo" },
        "kimi-k2-thinking": { "name": "Kimi K2 Thinking" }
      }
    }
  },
  "model": "moonshot/kimi-k2-turbo"
}

Export the key:

export MOONSHOT_API_KEY="sk-your-key"

Confirm the exact model IDs on Moonshot’s docs.

Step 3: Run it

opencode

The default is moonshot/kimi-k2-turbo. Switch to Thinking in the TUI when a task needs more reasoning.

Kimi models in OpenCode

moonshot/kimi-k2-turbo Fast; best for interactive coding
moonshot/kimi-k2-thinking Reasoning mode; slower, for hard tasks

Pricing

Kimi is pay-per-token with cache-hit discounts and no flat coding plan. Turbo may carry a slightly different rate than the base model for its speed — confirm on Moonshot’s docs. Full picture in Kimi K2 pricing explained.

Troubleshooting

  • Provider not found — the provider key (moonshot) must match the model prefix.
  • Auth errorsMOONSHOT_API_KEY not set in the launching shell.
  • Format errors — you used /anthropic; switch to /v1.
  • Model rejected — confirm the Turbo model ID on Moonshot.

Kimi Turbo + OpenCode checklist

  • OpenCode installed
  • Moonshot API key created and exported
  • Provider block with /v1 base URL
  • Turbo and Thinking model IDs listed
  • Default set to Turbo; launched with opencode

Wrapping up

Kimi K2 Turbo with OpenCode is the setup for responsiveness: add a Moonshot provider on the /v1 endpoint, list the Turbo model, and set it as default. The high throughput keeps the agent loop fast, while K2 Thinking stays one switch away for hard problems. It’s pay-per-token with cache discounts, so cost stays low.

To run Kimi elsewhere, see run Kimi K2 Thinking with Claude Code or Kimi K2 + Aider on WSL.

Frequently asked questions

What is Kimi K2 Turbo?

It's a higher-throughput variant of Moonshot's K2 family, tuned to return answers faster than the standard or Thinking models. That speed makes the agent loop in OpenCode feel snappier, at a similar or slightly higher price than the base model.

How do I add Kimi to OpenCode?

Add a custom provider in opencode.json using @ai-sdk/openai-compatible with Moonshot's OpenAI-compatible base URL and your key, then list the Kimi Turbo model ID and set it as the default.

Which base URL does OpenCode use for Kimi?

Moonshot's OpenAI-compatible endpoint (commonly https://api.moonshot.ai/v1), not the Anthropic one. OpenCode speaks the OpenAI format. Confirm the path in Moonshot's docs.

Is Turbo worth it over Thinking?

For interactive coding where responsiveness matters, yes — Turbo keeps the loop fast. For hard, multi-step reasoning, K2 Thinking is better despite being slower. Many people keep both and switch per task.

Does Kimi have cache discounts?

Yes. Moonshot applies cache-hit discounts on repeated input, which helps in agent sessions that resend context. There's no flat coding plan, so cost is pay-per-token. Confirm rates on Moonshot's docs.

Sources & further reading

Official vendor documentation referenced while writing this guide.

MG

MCSA Guru Team

IT & Systems Administration

We are working IT pros and system administrators who spend our days in Windows Server, Microsoft 365, and the wider Microsoft stack. MCSA Guru is where we write down the fixes and walkthroughs we wish we had found the first time.

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