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OpenCode Go is a model subscription that costs $5 for your first month. After that it’s $10, and there’s no contract — you can cancel any time. It comes from the team behind OpenCode, and it exists to fix one specific problem: getting reliable access to good AI models without juggling a dozen provider keys.

The pitch is simple. The OpenCode team tests a curated list of open models, benchmarks each one against the provider hosting it, and sells you access to the whole lineup behind a single API key. Five dollars to try it for a full month. No per-token math, no rate-limit roulette, no wondering whether the model you’re calling is still alive.
Here’s what you actually get: every model in the lineup, the exact request limits, and the real numbers on what that five dollars buys.
What OpenCode Go Actually Is
OpenCode Go is a flat-rate subscription. One API key, one endpoint, nineteen open models. It’s the paid companion to the free OpenCode coding agent, but you don’t need the agent to use it — the API is a standard OpenAI-compatible endpoint that plugs into whatever you already run.
OpenCode markets Go toward developers, and the model list is benchmarked for agentic work. But here’s the thing the marketing undersells: these aren’t niche coding models. They’re the same general-purpose large language models people use for everything — writing, chatbots, research, summarization, data extraction, translation, automation. Qwen, GLM, DeepSeek, Kimi, MiniMax. They write code, but they also write articles, answer customer questions, and turn messy data into clean output.
So while the homepage says “coding models,” what you’re really buying is cheap, reliable access to good AI models. What you do with them is up to you.
The Pricing: $5 to Start, Then $10
Your first month is $5. After that, $10 a month. There’s no annual contract, and you can cancel any time.
But the part most people miss is the usage ceiling. The limits are:
- 5-hour limit — $12 of usage
- Weekly limit — $30 of usage
- Monthly limit — $60 of usage
You’re paying $10 a month (after the $5 first month). The monthly usage ceiling is $60. That’s the 6x multiplier OpenCode advertises — they buy reserved GPU capacity and bulk-discounted rates, then pass the savings through. For most models, the math works out to roughly six times what you paid.
Limits are measured in dollar value, not request count, because different models cost different amounts to run. A cheap model like MiMo-V2.5 gives you far more requests than an expensive one like GLM-5.2. Here’s the full table, straight from the docs.
All 19 Models, With Exact Request Limits
| Model | Requests / 5h | Requests / week | Requests / month |
|---|---|---|---|
| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
| DeepSeek V4 Flash | 7,600 | 18,900 | 37,800 |
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
| Hy3 | 4,300 | 10,750 | 21,500 |
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
| MiniMax M3 | 3,200 | 8,000 | 16,000 |
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
| Kimi K2.7 Code | 1,350 | 3,380 | 6,750 |
| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
| GLM-5.2 | 880 | 2,150 | 4,300 |
| GLM-5.1 | 880 | 2,150 | 4,300 |
| GLM-5.3 | 220 | 540 | 1,080 |
| Qwen3.7 Max | 340 | 840 | 1,690 |
| Qwen3.8 Max | 160 | 400 | 810 |
| Grok 4.5 | 120 | 300 | 600 |
| Kimi K3 | 110 | 250 | 490 |
Read that top row again. MiMo-V2.5 gives you 150,000 requests a month, and DeepSeek V4 Flash is right behind at 37,800. For five dollars the first month, then ten. That’s the “cheap model, tons of requests” end of the spectrum, and it’s genuinely hard to exhaust for a solo user.
The expensive end — Grok 4.5 at 600 requests a month, Kimi K3 at 490 — is for when you need a heavy frontier model on a specific task. You don’t run those for everything. You run them when it matters, and the cheap models carry the routine work.
Why Some Models Give You So Few Requests
The 6x multiplier isn’t uniform. OpenCode is honest about this in their docs: for most models, bulk discounts and reserved GPU capacity make the 6x work. For a few — usually new models or ones already priced cheaply by their own provider — OpenCode hasn’t been able to negotiate a better rate, so the multiplier is lower.
Either way, you still get slightly more than paying the model provider directly. The $60 monthly ceiling is the ceiling, not the typical experience. Most people using a mix of cheap and expensive models will land somewhere in the middle and never touch the limit.
Zero Data Retention (For Almost Everything)
The privacy table is short and unusually clean. Out of 19 models, 17 have zero-day data retention — your prompts and responses are not logged and not used for training.
The two exceptions are flagged plainly:
- Grok 4.5 — 30-day retention, and enabling zero-data-retention disables some API features.
- GPT 5.6 Luna — abuse monitoring logs kept up to 30 days.
DeepSeek models have zero-day retention through a monthly-renewed agreement, currently valid through August 31, 2026. If you’re feeding proprietary content into a model, this is the table you should care about, and OpenCode actually publishes it.
Why Cheap, Reliable Model Access Matters for Everyone
If you run a website with an AI feature — a chatbot, a content generator, anything that calls a model — you already know the drill. You bring your own API key. The question is always which model to point it at, and what it costs per request.
If you’re a writer, a freelancer, a small business owner, or anyone who leans on AI for daily work, the same logic applies. You don’t want to think about which provider is throttling you today. You want one key, one price, and models that actually respond when you call them.
This is where the flat-subscription logic pays off. A five-dollar first month for nineteen tested models, with a $60 usage ceiling, beats juggling three free-tier keys that throttle you mid-job. Whether you’re writing content, answering customer questions, or building something that calls an API, predictable flat pricing beats per-token anxiety.
YakWP itself is built on the same philosophy — you own the plugin, you bring your key, there’s no recurring SaaS fee for the widget itself. The missing piece has always been the model access. A cheap flat-fee subscription closes that gap.
How I Use It
My setup routes different tasks to different models. Heavy reasoning goes to DeepSeek V4 Pro or GLM-5.2. High-volume writing, classification, and extraction go to MiMo-V2.5, where the 150K monthly requests mean I stop thinking about limits entirely.
The API is a standard OpenAI-compatible endpoint. Changing a base URL and an API key is the entire integration.
import openai
client = openai.OpenAI(
base_url="https://opencode.ai/zen/go/v1",
api_key="your-opencode-go-key",
)
response = client.chat.completions.create(
model="deepseek-v4-pro", # or deepseek-v4-flash, glm-5.2, qwen3.7-plus...
messages=[{"role": "user", "content": "Summarize this document."}],
)
If you’re on OpenCode itself, you run /connect, pick OpenCode Go, paste the key, and /models shows everything available.
Sign up at opencode.ai/go — the first month is $5.
When Not to Bother
Three honest reasons to skip Go:
- You only need one model. If your entire workload is DeepSeek V4 Flash, you might be fine on a free tier somewhere. Go earns its keep when you want a mix of cheap fast models and expensive frontier models behind one key.
- You need a specific proprietary model. Go covers open models only. If your workflow is built around Claude or a specific GPT, this isn’t a replacement.
- You’re already happy with free-tier scavenging. If you don’t mind juggling keys and hitting rate limits, Go is a convenience you don’t need. It’s for people who’d rather pay $5 to try it than think about it.
FAQ
Is OpenCode Go the same as the OpenCode agent?
No. The agent is free and open-source. Go is a separate paid subscription for model access. You can use Go with any OpenAI-compatible client, not just OpenCode.
What happens if I hit the $12 five-hour limit?
Requests get rate-limited until the window resets. Your subscription isn’t cancelled and you’re not charged extra. If you have Zen credits, you can enable “Use balance” and it falls back to your balance instead of blocking.
Do the models get used for training?
For 17 of 19 models, no. Data retention is zero days. Grok 4.5 and GPT 5.6 Luna have the exceptions noted above.
Are these models only for coding?
No. They’re general-purpose models. OpenCode benchmarks them for agentic work, but they handle writing, summarization, translation, chatbots, and data extraction just as well. The “coding” label is about how they’re selected, not what they can do.
How much is the first month?
$5. After the first month it’s $10, and you can cancel any time — there’s no contract.
How do I sign up?
Sign in at opencode.ai/go, subscribe, copy your API key, and point your client at the endpoint above.
The Honest Bottom Line
$5 to try it for a full month. Nineteen tested models, a $60 monthly usage ceiling, and a published zero-retention privacy table. If it’s not for you, cancel before the $10 kicks in and you’ve spent less than a coffee.
If you’ve been fighting free-tier rate limits or juggling three API keys, this is the single subscription that replaces all of that. If you run an AI-powered website, it’s the cheap, predictable model access that makes your own BYOK setup actually affordable. I pay full price for mine and I don’t plan to cancel.
If you want to try it, the first month is $5 through my referral link: opencode.ai/go. It doesn’t cost you anything extra, and it covers a month of my own stack.

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