OpenCode Go Review 2026: 18 AI Models for $10/Month (GPT 5.6 Luna, Kimi K3)

I have been juggling API keys for coding agents for months. DeepSeek here, MiniMax there, OpenRouter balance to top up, three billing pages I forget which password goes to. It works. It is still annoying.

OpenCode Go is basically one $10/month key ($5 the first month) for 18 models: GPT 5.6 Luna, Grok 4.5, Kimi K3, GLM-5.2, Qwen3.8 Max, DeepSeek V4, MiniMax M3, and a pile of cheaper options. It plugs into OpenCode, Hermes, OpenClaw, Pi, or anything that speaks OpenAI-compatible APIs.

I almost skipped it. Another subscription. Another thing to cancel later. At $10 I figured I would burn a week and move on if it sucked. Three weeks later I am still on it. Here is the honest version.

What OpenCode Go is

OpenCode Go is a flat subscription from the OpenCode team: one API key, 18 models, $10/month after a $5 first month. No per-token math. No separate accounts at every model provider.

Models are served from the US, EU, and Singapore. Most providers claim zero retention, so your code is not supposed to train anyone’s next model. The exceptions are Grok 4.5 and GPT 5.6 Luna, which keep logs for 30 days. That matters if you ship proprietary work.

You do not need OpenCode the IDE to use Go. Point any OpenAI-compatible client at the endpoint: Hermes Agent, OpenClaw, Pi Agent, Mastra, Agno, Codex, whatever you already run.

Which models are included

The current list (18 models):

OpenCode does not dump every new model onto Go. They test for coding-agent use first, then add what holds up. The list will keep moving.

Usage limits

Go is not unlimited. It uses dollar-value limits, not request counts. Your actual number of requests depends on which model you pick.

If you have credits on your OpenCode Zen balance, you can enable the “Use balance” option in the console. When Go limits run out, it falls back to your Zen balance instead of blocking requests.

Cheaper models stretch further. Estimated request counts from the official Go docs:

Lean hard on Grok 4.5, GPT 5.6 Luna, or Kimi K3 and you will hit the 5-hour wall. Stick to DeepSeek V4 Flash, MiMo-V2.5, or MiniMax M2.7 and I doubt you hit anything unless agents run all day.

Setting it up

The setup takes about two minutes.

1. Go to opencode.ai/auth and create an account
2. Subscribe to Go and copy your API key
3. In OpenCode, run /connect
4. Select OpenCode Go and paste your key
5. Run /models to see the available models

The base URL for the API is:

https://opencode.ai/zen/go/v1/chat/completions

Using Go with other agents

Since the endpoint is OpenAI-compatible, you can use Go with any tool that supports custom API endpoints:

export OPENCODE_API_KEY=your-go-key
pi
# /model, select opencode-go provider

echo "OPENAI_BASE_URL=https://opencode.ai/zen/go/v1/chat/completions" >> ~/.hermes/.env
echo "OPENAI_API_KEY=your-go-key" >> ~/.hermes/.env
hermes config set model opencode-go/glm-5.1

import { createOpenAI } from '@ai-sdk/openai';

const opencodeGo = createOpenAI({
  baseURL: 'https://opencode.ai/zen/go/v1',
  apiKey: process.env.OPENCODE_API_KEY,
});

const agent = new Agent({
  name: 'assistant',
  model: opencodeGo('glm-5.1'),
});

from agno.agent import Agent
from agno.models.openai import OpenAI

agent = Agent(
    model=OpenAI(
        id="glm-5.1",
        api_key=os.environ["OPENCODE_API_KEY"],
        base_url="https://opencode.ai/zen/go/v1",
    ),
    markdown=True,
)
agent.print_response("Your task here")

model = "glm-5.1"
model_provider = "opencode-go"

[model_providers.opencode-go]
name = "OpenCode Go"
base_url = "https://opencode.ai/zen/go/v1"
env_key = "OPENCODE_API_KEY"
wire_api = "chat"

Who this is for

Go makes sense if:

• You do not want to manage multiple API keys and billing dashboards
• You are based outside the US and want low-latency access to models (the Singapore and EU endpoints help)
• You want a predictable monthly cost instead of per-token billing
• You use multiple agents (OpenCode + Pi + Hermes + Mastra + Agno) and want one key for all of them

Go does not make sense if:

• You only use one or two models and already have cheap API access
• You need models not on the list (like Claude or GPT-4)
• You are doing heavy production work that needs unlimited or very high limits

How it compares to managing your own keys

I ran the numbers for my own usage. I typically use MiniMax M2.7 and DeepSeek V4 Pro through their direct APIs. My monthly cost with direct API keys was around $15-20 depending on how much I used agents that month.

With Go at $10/month, I get access to those same models plus others I would not have bothered setting up. The limits are generous enough that I have not hit them once in three weeks of daily use.

The trade-off is control. With direct API keys, I can switch providers if one goes down. With Go, I am relying on the OpenCode team to handle failover. In practice, I have not had any downtime issues, but it is worth noting.

My take after three weeks

If you already have cheap direct keys and only use one model, Go is optional. Nice, not life-changing. For me the win is simplicity: one invoice, one key, and it works in every agent I already run.

If you are still pasting five API keys around, start with the $5 first month. I leave Grok 4.5, GPT 5.6 Luna, and Kimi K3 for the hard stuff, MiniMax M3 or GLM-5.2 for normal agent sessions, and DeepSeek Flash or MiMo when I just need volume.

Related articles

• Build Your Own AI Agent with Mastra — full guide using OpenCode Go with Mastra
• How to Use the Codex App with Any Model — run Go models inside the Codex app
• OpenCode Setup Guide: Install and Configure on a VPS — full installation walkthrough
• OpenCode vs Pi Agent: Which Terminal Coding Agent to Use — side-by-side comparison
• Best Cheap Models for AI Coding Agents — model pricing and benchmarks
• GitHub Copilot Alternatives After the June 2026 Pricing Change — what to switch to