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.
The verdict
OpenCode Go
A low-cost subscription for curated open coding models.
- Price
- $5 first month, then $10/month
- Usage
- $60/month included
- Models
- 19 standard models + Muse Contributor
- API Format
- OpenAI + Anthropic compatible
- Data Policy
- 17/19 standard models zero-retention; exceptions vary
What works
- Cheapest multi-model: No other AI coding subscription gives you this many curated models for $10/month.
- Generous usage: $60 of monthly API value for $10.
- Rock-solid stability: Zero downtime in two weeks.
- Works everywhere: One API key compatible with any agent.
- Referral bonus: Each friend gets you $5 extra usage credit.
Tradeoffs
- Mostly Chinese models: 17 of 19 standard Go models come from Chinese labs; Grok 4.5 and GPT 5.6 Luna are the standard-roster exceptions, while Muse Contributor is separate.
- Cap system: Three-layer limits feel restrictive with reasoning-heavy models.
- No per-token visibility: Dollar-based usage is harder to estimate.
Tony's take

Subscription
OpenCode Go
A low-cost subscription for curated open coding models.
- Price
- $5 first month, then $10/month
- Models
- 19 standard models + Muse Contributor
- 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.
Update, August 21, 2026: I refreshed this review again after OpenCode expanded Go. The current Go docs list 19 standard models, now including GLM-5.3, while OpenCode’s usage table also includes Muse Spark 1.2 Contributor as a heavily discounted opt-in model. Pricing and the $12/5-hour, $30/week, and $60/month caps are unchanged. Privacy is not uniform anymore: 17 of the 19 standard models list zero-day retention, while Grok 4.5 and GPT 5.6 Luna list 30-day retention; the Muse Contributor tier can use prompts and completions for training.
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 standard Go roster is now 19 models. It is still dominated by Chinese AI labs, but Grok 4.5 from xAI and GPT 5.6 Luna from OpenAI make it a mixed-provider lineup. Seventeen of those 19 standard models currently list zero-day retention; Grok 4.5 and GPT 5.6 Luna list 30-day retention. OpenCode also exposes Muse Spark 1.2 Contributor in its usage table as a separate, deeply discounted option that allows training on prompts and completions.
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 August 21, 2026, OpenCode lists 19 standard Go models. Its usage table also includes Muse Spark 1.2 Contributor, which I am listing separately because its privacy terms are materially different. The roster changes as the team tests and adds models.
| Model | Provider | Best For |
|---|---|---|
| Grok 4.5 | xAI | Frontier reasoning |
| GLM-5.3 | Zhipu AI | Latest GLM coding and reasoning |
| GLM-5.2 | Zhipu AI | 1M context, reasoning |
| GLM-5.1 | Zhipu AI | Long-horizon autonomy |
| GPT 5.6 Luna | OpenAI | Frontier coding |
| Kimi K3 | Moonshot AI | Premium agentic coding |
| Kimi K2.7 Code | Moonshot AI | Agentic coding, Agent Swarm |
| Kimi K2.6 | Moonshot AI | Multi-agent coordination |
| MiMo-V2.5-Pro | Xiaomi | Long-horizon autonomous sessions |
| MiMo-V2.5 | Xiaomi | High-volume budget option |
| Qwen3.8 Max | Alibaba | Premium large-context |
| Qwen3.7 Max | Alibaba | Premium large-context quality |
| Qwen3.7 Plus | Alibaba | Mid-tier default |
| Qwen3.6 Plus | Alibaba | General coding, 1M context |
| MiniMax M3 | MiniMax | General coding |
| MiniMax M2.7 | MiniMax | General coding |
| DeepSeek V4 Pro | DeepSeek | Competitive programming, 1M context |
| DeepSeek V4 Flash | DeepSeek | Default workhorse |
| Hy3 | Tencent | Reasoning, agent tasks |
| Muse Spark 1.2 Contributor | Meta | Ultra-low-cost contributor tier; training permitted |
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. OpenCode’s current estimates put Kimi K3 at roughly 110 requests per 5-hour window, GLM-5.1 and GLM-5.2 at about 880, DeepSeek V4 Flash at about 7,600, MiMo-V2.5 at about 30,100, and Muse Spark 1.2 Contributor at about 45,300.
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 19 standard models from different labs behind one API key, plus the separate Muse Contributor option, 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 used to be obvious: these were all Chinese open models. That is no longer true. Grok 4.5, GPT 5.6 Luna, and the separate Muse Contributor option broaden the roster, but 17 of the 19 standard models still come from Chinese labs, and Claude and Gemini still are not here. No amount of bundling makes up for wanting a specific proprietary model that is not in the lineup.
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 need a specific proprietary model. Grok 4.5 and GPT 5.6 Luna cover the xAI and OpenAI side of the fence now, but Claude and Gemini still are not here. If you need those, 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.




Great review! I think this would be a good fit for me, and I’ll definitely be signing up for it. Thank you!