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What Does OpenCode Go Actually Include? Pricing, Models, and Usage Limits Explained

I was about to click “Subscribe” on OpenCode Go when I realized I couldn’t answer a simple question: what exactly am I paying for?

The pricing page shows $5 for the first month, then $10/month after that. It lists model names and request limits. But dig deeper, and you’ll find critical questions unanswered.

The Transparency Gap

Here’s what the OpenCode Go page tells you:

What OpenCode Go advertises
GLM-5: 1,150 requests per 5 hours
Kimi K2.5: 1,850 requests per 5 hours
MiniMax M2.5: 20,000 requests per 5 hours
Big Pickle + Free: 200 requests per 5 hours
Price: $5 first month, then $10/month

But here’s what it doesn’t tell you:

  • Quantization level: Are these full-precision models or compressed versions?
  • Provider identity: Who hosts these models?
  • Uptime guarantees: What SLA can you expect?
  • Privacy policy: What happens to your code?

A Reddit user named Magnus114 summed it up perfectly:

“I love opencode, but will not use opencode go before they openly state what they actually provide. Like: Quants, Providers, Uptime, Expected speed, Privacy policy”

This isn’t nitpicking. These details directly affect your experience.

Why Model Quantization Matters

When a model is “quantized,” it means the model weights have been compressed to use less memory and compute. This can affect:

  • Response quality
  • Reasoning capability
  • Output coherence
Quantization impact (illustrative)
Full Precision (FP16): 100% quality, high cost
8-bit Quantization: ~95% quality, 50% cost
4-bit Quantization: ~85% quality, 25% cost

If OpenCode Go uses heavily quantized models, you might not get the quality you expect for that $10/month. Without transparency, there’s no way to know.

The Usage Consumption Problem

Another concern emerged from user reports. DenysMb shared their experience:

“I used for a few days. I hit 49% of the monthly usage in the first day…”

This raises questions about how request limits actually work in practice:

Request limit questions
1. What counts as one "request"?
- Single message? Entire conversation?
- Does a long response count more?
2. How do 5-hour windows work?
- Do limits reset automatically?
- What if you hit the limit mid-task?
3. What happens when you exceed limits?
- Hard cutoff?
- Degraded service?
- Pay-as-you-go option?

Without clear documentation, users are flying blind.

Comparison: What Competitors Disclose

Let me compare OpenCode Go with two major competitors:

AI Coding Assistant Transparency Comparison
+-------------------+---------------+------------------+---------------+
| Feature | OpenCode Go | GitHub Copilot | Cursor Pro |
+-------------------+---------------+------------------+---------------+
| Price | $5/$10/mo | $10/mo | $20/mo |
| Models disclosed | Partial | Yes (GPT-4, etc.)| Yes |
| Provider disclosed| No | Yes (OpenAI) | Yes |
| Privacy policy | Unclear | Clear | Clear |
| Quantization info | No | No | Partial |
| BYOK option | No (free only)| No | Yes |
+-------------------+---------------+------------------+---------------+

GitHub Copilot at $10/month gives you clear model information and a well-defined privacy policy. Cursor at $20/month lets you bring your own API keys. OpenCode Go sits at an awkward middle ground - cheaper than Cursor but less transparent than Copilot.

What the Free Tier Actually Offers

Before paying, consider what you get for free:

OpenCode Free Tier
- 200 requests for Big Pickle and free models per 5-hour window
- Connect your own API keys (BYOK)
- Access to 75+ LLM providers via Models.dev

The free tier with BYOK might actually be the better deal if you:

  1. Have existing API keys from Anthropic, OpenAI, or others
  2. Want full control over which models you use
  3. Care about knowing exactly what you’re getting

The Go subscription essentially trades transparency for convenience - you don’t manage API keys, but you also don’t know what’s running under the hood.

What I’d Need to See Before Subscribing

If OpenCode wants my $10/month, here’s what they need to disclose:

Transparency requirements
1. Model Specifications
- Exact model versions
- Quantization levels (if any)
- Context window sizes
2. Infrastructure
- Who provides the compute?
- Geographic regions available
- Uptime track record
3. Privacy
- How is code processed?
- Is code used for training?
- Data retention policies
4. Usage Mechanics
- Clear definition of "request"
- Limit reset mechanics
- Overage handling

The Bottom Line

OpenCode Go’s pricing looks attractive at $5 for the first month. But the value proposition is unclear because we don’t know what’s being delivered.

What we know:

  • Three models with stated request limits
  • $5 introductory price, $10 ongoing
  • Higher limits than free tier

What we don’t know:

  • Model quality (quantization)
  • Service reliability (provider/uptime)
  • Data handling (privacy)
  • Actual usage patterns (limit consumption)

For me, the lack of transparency is a dealbreaker. I’ll stick with the free tier and BYOK for now, or pay a bit more for a competitor that tells me exactly what I’m getting.

If OpenCode addresses these transparency gaps, the $10/month price point could be compelling. Until then, buyer beware.

Final Words + More Resources

My intention with this article was to help others share my knowledge and experience. If you want to contact me, you can contact by email: Email me

Here are also the most important links from this article along with some further resources that will help you in this scope:

Oh, and if you found these resources useful, don’t forget to support me by starring the repo on GitHub!

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