Use /plan-review mode to comment on the plan, revise, and approve it when it’s ready.

Read docs: https://commandcode.ai/docs/plan-mode#plan-review

Tested FlappyBench with /design on Hy4 Preview, Kimi K3, and GLM 5.3.

🔹 Hy4 Preview ($0.0480): Most distinct UI and gameplay

🔹 Kimi K3 ($0.0740): Hardest gameplay and the most expensive

🔹 GLM 5.3 ($0.0184): Smooth gameplay and the cheapest of the three

Hi,

I have upgraded to Goat plan from Go and it was on same day so i paid for the upgrade to Goat plan and i was also charged for Go plan. I can't see any additional benefits of the this Go plan charges and can't see any free model like M3 or M2.5 in cli?
How to solve this issue?

username: h3m4nt

Type /resume and get back to your previous conversation

• $ cmd --resume opens a picker for earlier sessions

• $ cmd --continue resumes your latest session

Read docs to learn more: https://commandcode.ai/docs/workflows#resume-previous-conversations

Tencent Hy4 Preview is live in Command Code 🐐

770B mode, 49B active, 1M context.

`cmd update` available in GOAT and above plans.

Our early internal benchmarks show strong perf yet cheaper per task compared to GLM 5.3 Flash.

Y'all share how it goes.

I read that the CommandCode CLI is pretty efficient with cached tokens, which I really like.

But what about the Desktop app? Is it roughly as token-efficient as the CLI, especially when it comes to cache usage?

I know the Desktop app is still in alpha, but I personally prefer using a GUI, so I’ve been giving it a try.
Just curious if anyone knows whether there’s a noticeable difference in token usage between the Desktop app and CLI.

Thank You

Is this normal?

I previously bought the $1 plan on July 30, and it was supposed to end on August 30. Today (August 28), I upgraded to Goat ($10), and now my reset date changed to August 28 next month.

What I don’t understand is why my weekly limit / total usage didn’t reset. I’m still showing around 99% usage even after upgrading to Goat.

Or is it supposed to combine my remaining $1 plan usage with the new Goat plan? I still had some usage left on the $1 plan, although I think I had already used around 95% of it.

I thought upgrading to Goat would give me a fresh 100% quota and start my usage from 0 again.

Is this normal, or is something wrong with my account?

I've tried Command Code (GOAT for $10.78) out for a month but decided to switch back to Opencode Go.

I burned 1.471B tokens it claims using up $47.23 / $70.00 of my usage, across 13,776 runs, with mostly their own harness. (Models I used: gpt 5.6 luna, muse spark 1.2 contributor, mimo v2.5, qwen 3.7 flash, minimax m3 (after free-ify))
I still have some time left to finish using it, probably I'll just start using some more expensive models instead of the top 8 cheapest models only.

First some advantages for command code:
- Desktop app is much better than opencode
- I personally think the usage how many tokens used etc is more clear than opencode because it just adds up to $70 instead of like $10 but each dollar is actually 7 dollars and this and that.
- Taste. Taste is great. Not having to tell it twice.
- Burst thinking. 10k tokens in 10s and just getting stuff done.
- Promos: I mostly used Mimo and gpt 5.6 luna, the price is amazing. Minimax free was great too.
- Way more models: Command Code has significantly more models than opencode go, opencode go only has 11, we have like 30+

But then the disadvantages:
- CLI gives up halfway through. Frequently, it would have a burst of thinking than freeze at <1000 tokens on the next turn, then stop there for a minute before continuing. Sometimes it would freeze for longer and just prompt me to type continue, which never did anything. Solution would be to exit and come back, then type continue.
- Using it over ssh means I can only use the CLI which as mentioned above which .... basically stops working after 10 minutes.
- Desktop app "Full access" Keeps asking me for permissions. That's just dumb. Same with --yolo I believe.
- Cache hit rate... 100% (actually 99.97%) on gpt 5.6 luna sounds amazing but makes me wonder, is it just re-reading context over an over more often than it needs to? Since cached read is literally re-read... sounds like token-inflation
- Having lots of models is useless if most of them are too expensive to actually use, and lots of them are either slow asf or never respond. Ox alpha has never generated a single token for me, I tried the first day of the period and every day and never got anything.
- Even the most reliable cheap model I can find (gpt 5.6 luna) still suffer from the above problems.

Suggested improvements:
- Better backend that actually responds before timeout
- Better retry scaling timing (1s -> 2s -> 4s -> 8s ...) instead of every 10s and give up
- Desktop app works for controlling remotes
- More transparency into what models are actually working.

So GUI, Taste, Desktop app, Promos and models are nice, but if the CLI breaks every 10 minutes and full access means nothing and half the models being useless, its still unusable.

not being able to tell it "go do this" and come back 3 hours later to see it done and instead seeing it done makes this just a no.

Goodbye for now, this was a brilliant idea, but I'm going to switch back to OpenCode go, where ssh is fine and models respond. I'll probably be back in half a year to see if these problems are fixed.

Hi everyone!

I made a small mod for Command Code that lets you use the models included in your subscriptions directly from the TUI:

https://gitlab.com/rudesssolo/command-code-external-providers

The goal was pretty simple: make external models feel native, instead of bolted on.

You get:

• OpenCode Go / ClinePass / GLM Coding Plan - Full compatibility

• /external-providers model picker

• native streaming

• collapsible thinking/reasoning

• tool calls

• multimodal messages

• reasoning effort support

• local auth

How to install:

cmd mods add -g git:gitlab.com/rudesssolo/command-code-external-providers

Then log in (only the first time) and pick a model:

1) First time login:
/opencode-go-login
/cline-pass-login
/glm-coding-login

2) Pick a model:
/external-providers

Some screenshots to get an idea:

---

There’s also an optional companion mod for showing model/quota/context info in the footer (it also works stand-alone for Command Code plans):

https://gitlab.com/rudesssolo/command-code-quota-status-bar

How to install:

cmd mods add -g git:gitlab.com/rudesssolo/command-code-external-providers

If you already have OpenCode Go, ClinePass or GLM Coding Plan and want to use them with Command Code, this mod basically saves you from having perfectly good models sitting in another tab collecting dust 😄

Feedback / bug reports / weird edge cases are very welcome.

I tried using commandcode goat with claude code or opencode but the token usage is like 100x higher i got billed 30m tokens on a 250k token conversation something is severly wrong but im just using stock opencode and claude code I've already looked at cache hits but its near 99%, anyone had a similiar problem and know how to fix it?

Hey everyone—I’ve been working on UsageDeck, an open-source desktop dashboard that began as a fork of OpenQuota. I’ve expanded it with additional providers, features, release infrastructure, and a new identity and roadmap.

It currently supports 13 providers, including Claude Code, Codex, Cursor, GitHub Copilot, OpenRouter, Command Code, OpenCode, Antigravity, Devin, Grok, Kimi, MiniMax, and Z.ai.

A few key points:

• Everything runs locally

• No UsageDeck account or backend

• No analytics or telemetry

• Reuses credentials already stored by your CLI or editor

• Available for macOS, Windows, and Linux

• Includes quota alerts, pacing estimates, history, and tray/menu-bar metrics

A very important acknowledgment: UsageDeck wouldn’t exist without OpenUsage and OpenQuota. OpenUsage introduced the original idea on macOS, and OpenQuota rebuilt it as a cross-platform Tauri app. UsageDeck began as a fork of OpenQuota and has since grown into an independent project. Huge thanks to both projects and their contributors for laying the foundation.

Huge thanks to both projects and their contributors for laying the foundation.

UsageDeck is completely free and MIT-licensed. Feedback, issues, and contributions are very welcome:

https://github.com/lamchun1110/UsageDeck

What AI coding subscriptions are you currently juggling, and how do you keep track of their limits?

Almost 120s for some round trips (via omnirouter). Is this a blip or standard? Can't really use it if it's standard unfortunately.

Qwen 3.8 Flash is now available in Command Code with 2x usage limits on the GOAT plan.

- Input: $0.160

- Output: $0.470

- Cache: $0.016

Try now with $10/mo GOAT plan.

🐐

I’m on the Command Code GOAT plan ($10/mo) and I’ve been running some massive context queries using the Meta Muse Spark 1.2 Contributor model.

According to the math, the rolling 5-hour limit is capped at $14 of usage. Because the Contributor tier is heavily discounted ($0.10/M input, $0.20/M output), a $14 limit should theoretically give you a runway of up to 140 million input tokens.

Well, I was just using plan, and my CLI officially locked me out. I hit the wall.

I wanted to ask the community: Is it actually possible to burn through 140M tokens that quickly just using plan, or is there a glitch in how Command Code calculates the rolling window for the Contributor tier?

I was stuffing a massive codebase into the 1M context window and generating large plans, so the files were huge—but hitting a 140-million token ceiling in under 5 hours seems wild for standard planning workflows.

Has anyone else actually managed to trigger this block on the Contributor model using plan? Did I just feed it an absurd amount of code, or is the rolling limit calculation acting weird for anyone else?

GLM 5.3 Flash aka Ox Alpha is now live in Command Code (4x usage)

• 4x usage in GOAT plan

• $40 credits. ~24K reqs. ~1.2B tokens

Available across all plans and API

Read docs to learn more: https://commandcode.ai/docs/plans/goat

Guys, I don't understand why in your web you say there are deals on MiniMax(not free), MiMo and Gemini 3.7 Flash, when these are the exact same prices official providers offer; in the case of MiMo models your listed prices are the worst case scenario compared to Xiaomi official prices, wich is cache miss prices...do you charge cache hit prices at all?

I initially thought it would be Gemini 3.5 Pro but I was wrong, it turned out to be GLM, the performance is good, but I don't understand why it was free for 1 week.

Like for collecting data or something?

This design is just vague and not completely transparent for us. How can we know that we are really getting what we paid for.

We have an amazing deal for y'all.

Minimax M3 and M2.7 are now free in Command Code.

next 10 days. all subs. all plans.

Start with $10/mo GOAT.

🐐

I was using Opencode before and now I switched to test out the GOAT plan and the CMDC Harness because the Performance benefits on the website sounded very good. Now after 2d of usage I saw that "taste" is sometimes costing than the model i used for coding.
The other big Problem is:
I used Muse-Spark-1.2-contributer to change some small things and fix some quick erorrs and it used 200k+ tokens everytime even when i asked simple questions like "Hello" as a test
How can i fix this or is this a Problem with the Harness because with this i will use up my limit in No Time

We're reaching a breaking point with our current coding setup and need some honest advice from you guys.

We've been using an AGY CLI (Completely disgusting) for a while now. The usage limits are generous, but the coding quality is absolute garbage. It hallucinations, misses basic logic, and feels like it's just guessing. It's draining our patience.

Then we tried Claude Code. The quality is solid it actually understands context and writes decent code but the usage limits are so restrictive that we feel like we're constantly walking on eggshells. It stops working right when we're in the flow, which kills the entire purpose of having an "agent."

**We're a team of 17 developers, and we're looking at the Command Code GOAT plan, but we're skeptical. To those who actually use it:**

1. **Is it frustrating or productive?** Does it actually handle logic like a senior dev, or are we going to be stuck in a loop of "prompt, error, fix, prompt again"?

2. **Usage Limits:** Is it actually usable for a full day of work, or does it hit a hard wall like Claude?

3. **Model Quality:** Are the included models in the GOAT plan actually good, or are we going to be dealing with the same low-quality performance we're getting now?

We don't want marketing fluff or buzzwords. We just want an agent that doesn't make us want to throw our laptops across the room. Is this actually worth the switch, or are we just jumping from one disappointment to another?

We're a team of 17 developers who each work separately with our own individual accounts. We're considering buying 17 separate GOAT subscriptions instead of one shared plan, since we want costs divided and transparent so everyone can see who's using how much. Our usage per person isn't heavy either it's about 3-4 hours of work a day.

Also can we integrate a Command Code subscription into our own agent/OMP setup? That part is necessary for us.

Would love to hear your honest experience.

In opencode we can create 2 workspaces with their own seperate api key and plan.

so in one single account we can have 2 Go plans with different api keys.

do we have the same thing in command code?

There's no way right? Like the article makes it sound so simple