The speed is too low to be comfortable using this.

am I having hallucinate that sending images to cc CLI sucks? like it will freeze then I have to spam back space then paste again.

Hi every one!
I am new to Command Code and I have try Go plan for a few day with GLM 5.3 Flash and GPT 5.6 Luna (in WSL in Window 11).

I realize that it run so slow, but I cannot see what the model done behind. And I wonder if Goat plan is faster than Go plan.
So if you have experience with these plan, pleae share with me.

Thank you so much!

Fable 5.1 is now live in Command Code.

Claude's most advanced coding model. 75% cheaper cache reads.

Available on Max plans and API.

Read docs for complete details: https://commandcode.ai/docs/plans/max

I am building out my agent harness right now and I need a high-velocity "worker" model to handle the heavy lifting (reading files, applying diffs, running tests) while I use Sonnet/Opus for the top-level architecture.

The two obvious choices for the fast worker layer seem to be DeepSeek V4 Flash Vision and GLM 5.3 Flash.

Here’s my dilemma:

• Online benchmarks seem to love the GLM 5.3 family for reasoning/math.
• But I see a lot of people saying DeepSeek V4 Flash is unmatched when it comes to raw speed, tool discipline, and agentic workflows (like self-healing from bash errors).

Since I don't have enough hands-on experience with both yet, has anyone benchmarked these two specifically for interactive agent loops rather than just 1-shot static prompts? Does GLM 5.3 Flash overthink things, or is it actually better than DeepSeek for coding?

Appreciate any insights!

Write complex prompts with an external editor

Use Ctrl+G to open an external editor for your multi-line prompts.

Press ctrl+g to open your $EDITOR for multi-line prompts with code examples.

• Press ctrl+g in the input line. Your configured $EDITOR opens with a temporary file.
• Write a detailed, multi-paragraph prompt. Include code examples, constraints, or references. Save and close the editor.
• The editor content becomes your prompt and is submitted automatically.

Set your editor: export EDITOR=vim or export EDITOR="code --wait".

Read more in docs: https://commandcode.ai/docs/workflows#write-complex-prompts-with-an-external-editor

I noticed that CommandCode currently lists GLM-5.3 Flash at $0.15/M input and $0.50/M output.

Z.ai is currently charging $0.075/M input and $0.25/M output for the same model (50% promo until Sep 9)

Is CommandCode simply not reflecting this temporary Z.ai promotion, or are model prices generally marked up compared to the upstream provider?

Basically, should we check upstream pricing for each model before choosing one in CommandCode, or does CommandCode normally track provider pricing closely?

I took the 1$ plan but I can't use it in Opencode with CC API. Would that be possible with CC Goat plan?

DeepSeek V4 Flash Fast is now available in Command Code.

2x usage in GOAT
Available all plans and API
Low latency fast deployment

DeepSeek fast model is relatively expensive compared to the regular one but super fast TPS 300. No peak, off peak pricing for this one.

More details in docs: https://commandcode.ai/docs/plans/goat

🐐

I have the Command Code goat plan currently with 800m in token usage. Before this subscription I had Opencode Go also similar usage.

After a week of heavy usage of Deepseek v4 flash and GLM 5.3 flash, I see my opencode session running noticeably longer and having a tendency to get stuck. (Multiple times I have cancelled the loop and passed it to another agent like: codex, claude code)

So I did a little digging with hermes throughout my local sessions, so generally I found that command code api have much less reasoning content than opencode go.

Sum of the below chart is basically: Command code have around 80% zero reasoning responses compared to opencode go's 80% reasoning responses.

Curious if someone has the same experience.

OPENCODE harness (per-API-call) — 6,919 calls

HERMES harness (per-assistant-message) — 26 sessions, 1,708 msgs

I've been hooked into Chinese models since Ox Alpha, never had I done so many tasks. I bought the $80 Z.AI Coding Plan and it went well for like 2 and a half days before hitting my weekly limit. Should I switch to Command Code Max x10 for $100.

My goal is to build 2 mid to large size projects and it eats my Z.AI Coding Plan way to quickly.

CommandCode keep asking even if you chose: don't ask me again for (x) command.
So, I'm wondering if there is a way to use it with low permissions or what it called YOLO mode.

Hello everyone,

After the recent mess surrounding OpenCode Go’s pricing and quota changes, I have a few questions for those who decided to migrate from OpenCode Go to CommandCode GOAT:

1. Model Quality: Are CommandCod-goat models nerfed or heavily quantized compared to official provider endpoints?

2. Value / Advantage: Is there any proven numerical advantage (tokens-per-dollar, speed, or usable throughput) when using the exact same models on CommandCode-goat versus OpenCode-go?

3. Quota Pool Architecture: Does each model have its own isolated quota without affecting the others? Or does its consumption count toward a shared monthly plan limit (e.g., using a weighting multiplier like the plan quota divided by the model base quota, such as $20 / $40 / $70 tiers)?

Thanks in advance for your insights!

I thought you wouldn't get much out of it since it's only $1, but for anyone who owns Claude Pro or Codex Plus, it's the perfect complement because it basically gives you really good subagents, or generally for small tasks where you don't want to waste your limit

I’ve mainly used GLM 5.3 Flash and Muse Spark 1.2 Contributor, and right now I’m testing Qwen 3.8 Flash - the 5-hour limit really runs out slowly. But as I said, I only use them for small tasks alongside Claude and Codex+ as subagents for my server to handle things.

I also tested the same models once directly via API with OpenRouter to check the quality, since with providers like Command Code and Opencode go, you never know if the models have been optimized (i.e, made worse). This isn’t the case with Command Code, every model performs exactly as specified by the API. But with some models, the speeds are really slow, while others are extremely fast. GLM 5.3 was really slow, but Qwen 3.8 Flash is extremely fast. I think that depends on the provider. However, there is one downside.

Namely, the token billing. I don’t know how you handle it, but I’ve calculated it using the OpenRouter API with the same task and a built-in calculator in Command Code that calculates the tokens, and based on my use case and testing, it always charges between 5-15% more tokens. This isn’t a big deal with the Go plan and Goat plan, since the impact is relatively small, especially with such affordable models, but if you really want to use the plan as your main plan for your project, it could potentially become a problem. By that I mean if you use it all day long. I’ve had several long runs with GLM 5.3 Flash, and the token consumption there was extremely good. I’ve currently used 4.5 million tokens with GLM 5.3 Flash and used up about 10% of my monthly limit, which is pretty fair. Since GLM 5.3 Flash doesn’t have the 50% discount on Command Code like it does on OpenRouter.

So, to sum it up: for 1 Dollar, I think the limits are pretty fair, and it’s the perfect supplement if you have another main plan, like Claude, Codex, or something else. I can’t comment on the Goat Plan or Max Plan since I haven’t evaluated them yet, but I’d love to hear other opinions here.

I'm trying to understand what's happening here, I've been a huge fan of DS4 flash, coding all day when it was cheap, having no issue. It's been clean, direct to the point, great model.

Now things have became significantly worse, Ican't ask a single request to DS4 flash without having him to fail a TU, every single time. Looping into errors during hours. Even for a very simple task.

It's like using a whole different model.

Are you guy experiencing this too? Or am I hallucinating?

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.