---
title: "OpenCode Go: 12 AI Coding Models for $10/Month (Works with Any Agent)"
description: "OpenCode Go bundles 12 open source models like DeepSeek V4, Qwen 3.6, GLM 5.1, and MiniMax M2.7 into a $10/month subscription. Use it with OpenCode, Hermes Agent, OpenClaw, or any AI coding tool."
date: 2026-05-21
categories: ["AI"]
tags: ["ai-tools","opencode","llm"]
---
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I have been managing my own API keys for coding agents for months now. DeepSeek key here, MiniMax key there, OpenRouter balance to top up, separate billing dashboards to check. It works, but it is annoying.
When OpenCode Go launched, I was skeptical. Another subscription. Another thing to forget to cancel. But at $10/month for 12 models, I figured I would test it for a week and write it off if it was bad.
I have been using it for three weeks now. Here is what I found.
## What OpenCode Go is
OpenCode Go is a subscription from the OpenCode team that gives you access to 12 open source models through a single API key. $10/month, no per-token billing to track, no separate accounts with model providers.
The models are hosted across the US, EU, and Singapore. The providers follow a zero-retention policy, meaning your code does not get used for training. That matters if you are working on anything proprietary.
The best part: you do not need to use OpenCode to use Go. The API endpoint is OpenAI-compatible, so you can plug it into [Hermes Agent](/hermes-agent-setup-guide/), [OpenClaw](/clawdbot-setup-guide/), [Pi Agent](/pi-coding-agent-setup-guide/), or any other tool that talks to an LLM API. One subscription, one API key, works everywhere.
## Which models are included
The current list (12 models):
| Model | Notes |
|-------|-------|
| DeepSeek V4 Pro | Strong general coding, good at long context |
| DeepSeek V4 Flash | Fast and cheap, good for quick tasks |
| GLM 5.1 | Zhipu's flagship, solid reasoning |
| GLM 5 | Slightly cheaper than 5.1 |
| Qwen 3.6 Plus | Alibaba's latest, good at code generation |
| Qwen 3.5 Plus | Previous generation, still fast |
| Kimi K2.5 | Moonshot's model, good with Chinese and English |
| Kimi K2.6 | Newer version with better benchmarks |
| MiniMax M2.7 | My go-to for agentic tasks |
| MiniMax M2.5 | Cheaper MiniMax option |
| MiMo V2.5 Pro | Xiaomi's coding model |
| MiMo V2.5 | Xiaomi's base model |
The list changes as the OpenCode team tests and benchmarks new models. They do not just throw every open source model in there. They test each one for coding agent use and work with the model teams to optimize serving.
## 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.
| Limit | Cap |
|-------|-----|
| Per 5 hours | $12 |
| Per week | $30 |
| Per month | $60 |
Cheaper models stretch further. Here is what that looks like in practice:
| Model | Requests per 5 hours | Requests per month |
|-------|---------------------|-------------------|
| DeepSeek V4 Flash | 31,650 | 158,150 |
| Qwen 3.5 Plus | 10,200 | 50,500 |
| MiniMax M2.5 | 6,300 | 31,800 |
| MiniMax M2.7 | 3,400 | 17,000 |
| DeepSeek V4 Pro | 3,450 | 17,150 |
| Qwen 3.6 Plus | 3,300 | 16,300 |
| MiMo V2.5 | 2,150 | 10,900 |
| Kimi K2.5 | 1,850 | 9,250 |
| MiMo V2.5 Pro | 1,290 | 6,450 |
| GLM 5 | 1,150 | 5,750 |
| Kimi K2.6 | 1,150 | 5,750 |
| GLM 5.1 | 880 | 4,300 |
If you are doing heavy agentic work with GLM 5.1, you might hit the 5-hour limit during a long session. If you are using DeepSeek V4 Flash or Qwen 3.5 Plus, you are unlikely to hit limits unless you are running agents 24/7.
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.
## Setting it up
The setup takes about two minutes.
1. Go to [opencode.ai/auth](https://go.bitdoze.com/opencode-go) 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:
```bash
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/deepseek-v4-pro
```
See the [Hermes setup guide](/hermes-agent-setup-guide/) for full instructions.
Set the base URL to `https://opencode.ai/zen/go/v1/chat/completions` and use your Go API key in the OpenClaw config. See the [OpenClaw alternatives](/openclaw-alternatives/) article for more.
```bash
export OPENAI_BASE_URL=https://opencode.ai/zen/go/v1/chat/completions
export OPENAI_API_KEY=your-go-key
# /model, select opencode-go provider
```
See the [Pi setup guide](/pi-coding-agent-setup-guide/) for full instructions.
## 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 are getting started with AI coding agents and want a simple way to access good models
- You use multiple agents (OpenCode + Hermes + OpenClaw) 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 10 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.
OpenRouter is a pay-per-token aggregator. You load credits and pay for what you use. Go is a flat monthly subscription with usage caps. If you use a lot of tokens, Go is cheaper. If you use very few tokens, OpenRouter might be cheaper. Go also includes models from providers that are not on OpenRouter.
Yes. The Go endpoint is OpenAI-compatible. Any tool that supports custom OpenAI-compatible endpoints can use it. This includes Hermes Agent, OpenClaw, Pi Agent, and others. Set the base URL to `https://opencode.ai/zen/go/v1/chat/completions` and use your Go API key.
Requests get blocked until the limit resets. The 5-hour limit resets on a rolling basis. If you have credits on your Zen balance, you can enable the "Use balance" option to keep going after hitting Go limits.
No. The providers in Go follow a zero-retention policy. Your code is not stored or used for model training.
## My take after three weeks
I keep going back and forth on whether Go is worth it for someone who already has their API keys sorted. For me, the convenience of one key and one bill is nice but not life-changing. I would probably keep using it at $10/month just for the simplicity.
For someone just getting started with AI coding agents, though, Go is a no-brainer. Instead of signing up for five different model providers, copying five API keys, and tracking five billing dashboards, you get one key that works with 12 models. And you can use that key across every agent you run.
If you are curious, start with the first month. Use MiniMax M2.7 or DeepSeek V4 Pro for your main agent work, and try Qwen 3.5 Plus or DeepSeek V4 Flash for quick tasks where you want faster responses. You will know within a week if it fits your workflow.
## Related articles
- [OpenCode Setup Guide: Install and Configure on a VPS](/opencode-setup-guide/) — full installation walkthrough
- [OpenCode vs Pi Agent: Which Terminal Coding Agent to Use](/opencode-vs-pi-agent/) — side-by-side comparison
- [Best Cheap Models for AI Coding Agents](/best-cheap-models-hermes-agent/) — model pricing and benchmarks
- [GitHub Copilot Alternatives After the June 2026 Pricing Change](/github-copilot-alternatives-2026/) — what to switch to