OpenCode Go Review: Is the $10/Month Coding Model Plan Worth It?

I have spent 14 years reviewing tech. During that time, I have seen plenty of software promises that turned out to be marketing BS with a pretty landing page.

Subscription

OpenCode Go

A low-cost subscription for curated open coding models.

Subscribe to OpenCode Go

Price

$5 first month, then $10/month

Models

13 curated open models

Usage

$60/month included

Works with

Any agent (OpenAI/Anthropic format)

Hosting

US, EU, Singapore

OpenCode Go is not one of those. This review covers two weeks of daily use across both the OpenCode CLI and my Hermes Agent setup, and I am giving this subscription a 4.5 out of 5.

What OpenCode Go Actually Is

OpenCode Go is a low-cost subscription for curated open coding models. $5 for your first month, then $10/month. You get one API key that works with any agent, not just OpenCode; it has both OpenAI-compatible and Anthropic-compatible endpoints.

The Go plan gives you access to 13 models from Chinese AI labs, hosted on servers in the US, EU, and Singapore with a zero-retention data policy.

The models are tested and benchmarked for agentic coding workflows. This is not a generic model aggregator. The OpenCode team has done the work of picking the right models, testing them against providers, and bundling them into a single subscription.

I previously covered OpenCode CLI in my guide to building a free Claude Code alternative. Go is the paid layer on top, and it is completely optional. You never have to use it to use OpenCode.

The Backstory

OpenCode Go did not appear in a vacuum. It was born from Anthropic’s January 2026 decision to block third-party tools from using Claude subscription credentials. OpenCode, Cline, RooCode, all cut off overnight.

The backlash was significant. OpenCode’s GitHub stars roughly doubled in the weeks that followed. The team at Anomaly pivoted fast. They stripped out Claude OAuth integration, partnered with OpenAI for Codex access, and launched three new subscription products: Go, Zen (pay-as-you-go for premium models), and Black (enterprise gateway).

Go is the most interesting of the three because of what it gets right on pricing.

The Model Lineup

As of June 2026, OpenCode Go includes 13 models. The roster changes as the team tests and adds new ones.

These are not throwaway models. Several score over 80% on SWE-bench Verified. Qwen3.7 Max hits 60.6% on SWE-bench Pro, the hardest AGI coding benchmark. DeepSeek V4 Pro leads all models on LiveCodeBench at 93.5%.

I covered GLM-5.2 earlier this month when it launched with its 1M context window. It is now available through Go.

Pricing and Usage Limits

The headline number is $10/month. But the real value is in the usage model.

Go does not use per-token pricing like most API services. It uses dollar-equivalent credits across three rolling windows:

• $12 of usage every 5 hours
• $30 of usage per week
• $60 of usage per month

Because each model costs a different amount per request, the actual request volume varies dramatically. DeepSeek V4 Flash gets you roughly 31,650 requests per 5-hour window. GLM-5.1 gets you around 880.

Dax Raad from the OpenCode team has been transparent about the economics. He says they roughly break even on the $10 plan. This is a growth play, not a profit center.

My OpenCode Go Review: Two Weeks of Testing

I used DeepSeek V4 Flash as my daily driver for most tasks. The speed has been totally fine on my end. Much more stable than my experience with Ollama Cloud was. Ollama dropped frequently, but I have not had a single issue with Go yet.

The Tier Split

For the 80% of tasks that are straightforward coding, refactoring, and debugging, DeepSeek V4 Flash handles everything. When I needed heavier reasoning, I switched to Kimi K2.7 Code or GLM 5.2 depending on the severity of the task.

This is exactly how the service is designed to work. The cheap models handle the volume. The premium models handle the hard stuff. You pay the same $10 regardless of which model you use, so the only constraint is the usage cap.

Usage in Practice

I have not hit the limits yet. The closest I came was a heavy GLM 5.2 session that burned about $11.50, just under 20% of the monthly cap in one go. That is the reality of using the reasoning-heavy models. They eat through your budget faster.

The referral program is a great hedge. Each friend who signs up through your link gives both of you $5 in usage credits. That extra cushion makes a real difference when you are pushing the expensive models.

What Go Gets Right

The stability is the standout. Two weeks of daily use, not a single drop or timeout. That matters more than any benchmark number when you are in the middle of a session.

The model selection is strong. Having 13 models from different labs behind one API key removes the friction of managing multiple provider accounts. The models themselves are genuinely competitive. GLM 5.2, one of Go’s flagship models with 1M context, follows the GLM family’s strong benchmark trajectory — its predecessor GLM-5 scored 77.8% on SWE-bench Verified.

The transparency around usage is refreshing. The console shows your remaining budget in real time. You never get hit with surprise overage charges because the caps are hard limits.

Where It Falls Short

The biggest limitation is obvious: these are all Chinese open models. If you need Claude, GPT, or Gemini, this is not your subscription. No amount of bundling or pricing makes up for wanting a specific proprietary model.

The three-layer cap system ($12/5h, $30/week, $60/month) can feel restrictive if you are a heavy user who leans on reasoning models. One heavy session can burn 20% of your monthly limit. Extended sessions require the Zen balance top-up, which means a separate $20 minimum deposit.

The per-token pricing is not publicly itemized for all models. Go bills in monetary usage limits, so you do not get the granular visibility you would from a direct API provider.

Who Should Subscribe

This is for coders who want cheap access to great open models. If you have been searching for an honest OpenCode Go review, the answer is straightforward: subscribe if you want reliable open models at a fair price.

This is not for people who want OpenAI or Claude models. If you need frontier proprietary models for complex reasoning work, Go is a supplement, not a replacement. Use it alongside your primary subscription.

The Verdict

I am giving OpenCode Go a 4.5/5. That is still an excellent score, and I do not hand out scores in this range lightly. This review covers two weeks of daily use, and the service has earned it.

The pricing model is transparent. The referral program adds cushion. The model roster will only grow. And if it does not work for you, you can cancel anytime.

$5 for the first month is all it should take to give OpenCode Go a try. You can always cancel at any time if the normal $10 monthly fee and service does not meet your expectations.