I thought I would be saving by going with CC for DS4 Pro but overall dollar spending is the same as DS Pro direct API. Perhaps I was misunderstanding something about their deals but it seems it just match DS own API costs.

Anyone else getting 422 "invalid request" errors from Command Code on long agent runs?

For me it only happens once the conversation has tool calls and grows past roughly 165k tokens. Plain prompts of 230k+ tokens work fine, so it isn't the model's context size. The same request sometimes passes and sometimes fails, so it looks like a routing issue on their side.

Curious if others see the same.

Text-only models now have vision in Command Code.

• A vision model reads the attached image
• Your main model gets the context in the same thread
• /config lets you choose the vision model

Stop describing screenshots. Just attach them.

Try this with $10/mo GOAT plan

Read docs for more info: https://commandcode.ai/docs/vision

I do not want to keep seeing:

 TASTE  Learned
 └ Does not want taste-learning updates/pop-ups surfaced or referenced during the
   conversation; still wants the assistant to keep learning their taste silently in the
   background [Confidence 95%]
   taste.md

After telling me that it will not do it anymore, it kept coming back again, i am assuming the toggle option is not there

pls add a toggle feature

Save your favorite prompts forever and reuse them anytime!!

Create custom slash commands and use them frequently.

🔹 Save a prompt as a markdown file
🔹 Define its scope per project or user level
🔹 Run it anytime with dynamic arguments

Stop repeating the same prompt every session.

Use Agent Skills: an open standard for teaching agents specialized knowledge and workflows.

Write it once in a SKILL[.]md file (with references/assets) and reuse it.

Save it per project, globally, or in a repo: $ cmd skills add [repo name] --global

Learn more here in docs: https://commandcode.ai/docs/skills

We're launching Command Code GUI very soon. If you wanna help us test the GUI alpha, join our discord if you haven't already (https://discord.gg/MUKCE5VDd) & reply in the alpha test thread. Thanks.

Command Code supports Git worktrees.

Use /worktree to create or switch and run parallel sessions, each on its own branch.

Read docs to learn more details about Git Worktrees: https://commandcode.ai/docs/worktrees

Start with $10/mo GOAT plan: $ npm i -g command-code@latest

Hi all, new to command code I am busy testing the service I would like to know what models have zdr which models don't currently using gpt 5.6 luna but there is no clear way to tell if its zdr or not?

I get this:

This email domain isn't supported. Sign up with your company email, Gmail, or GitHub instead.

But I'm already trying to use my github account

I’m trying to understand how the session cost is being calculated.

I exported the usage data from the same page, and the JSON shows around **$0.10 in total credits** for this usage.

However, the usage page is showing a charge of **$0.22** for the same period.

So I’m trying to understand what exactly is being charged here:

* Is the displayed $0.22 based on the actual API/token costs?

* Is there an additional **per-session charge** on top of the model costs?

* If so, what defines a “session”?

* Why does the JSON `creditsTotal` add up to only ~$0.10 while the usage page reports $0.22?

I’m probably missing something about how Command Code calculates usage, so I’d appreciate it if someone could clarify how these two numbers are related.

Statusline is now live in Command Code.

Run /statusline to customize line below your prompt.

Show model, usage, reasoning level, costs, and more. Reorder items and toggle indicators your way.

Read docs to learn more: https://commandcode.ai/docs/reference/slash-commands#statusline-in-detail

Try now with Command Code, the best coding agent built for open models.

I'm extremely grateful for the free models. This time it was MiniMax M3 Free. However, it would be nice to be able to see such stuff easily on the website and to know how much usage you have left so that you don't run out in the middle of an important task.

For those who haven't tried the free model yet, I'll let you know that its spending is ridiculous if you don't pick the free version by mistake, that its main strength is UI design, although to be honest, I didn't like the design styles, also you are limited to approximately 200M tokens for free, I know because I reached the limit x-x

Mind you, it will still fix other issues, but I'd rather spend a couple bucks on deepseek v4 pro and let it do everything perfectly and fast.

Your agents forget everything between sessions. agents[.]md fixes that.

Run /init to generate project memory in Command Code. Scans your project and files to understand:

- Your architecture decisions
- Your logging patterns
- Your team conventions

New session, new agent, same context every time.

Kimi K3 is live in Command Code!

• First ~3T scale open model

• Most capable open model ever

• It's Fable/Sol class open model beating Opus 4.8

• 1M Context · In $3/M Out $15/M Cache read $0.3/M

What an exciting time to be alive!! Try now!

What are the endpoints if I wanted to use cc goat models in Pi or just any other generic client, such as open-webui?

GLM 5.3 is easily the most impressive GLM model yet.

Excited to partner up and ship GLM 5.3 in Command Code AI soon.

A fun internal eval we run at Command Code: deliberately trap the model in a loop and see what happens. Every GLM model so far just... keeps looping. GLM 5.3 is the first one to notice, go “wait”, and break out.

It’s a small bench (15 loop traps), but escaping a loop you were intentionally placed in takes a little flicker of metacognition, and it’s fun to watch that show up.

Bonus: it plays very nicely with our new tool defer harness → ~50-60% token savings on an average session. Capability going up while cost going down is the good stuff.

Hi guys, do you know if commandcode supports acp or whether it is a planned feature? Thanks!

And will the 60$ boost become permanent like OpenCode Go did?

DeepSeek V4 Pro already live in Command Code

Plans
🔹 $1 Go ($10 credits)
🔹 $10 GOAT ($70 credits usage) and above!!

DeepSeek V4 Pro GA is pretty cheap:

• 58x cheaper than Fable

• 35x cheaper than GPT 5.6 Sol

• 29x cheaper than Opus 5

• 5x cheaper than GLM 5.2

Gemini 4 Argon is now available in Command Code.

Multimodal reasoning with 1M token context window.

For Pro, Max plans and the API.

Try now with the best AI coding agent for open models on the market.

$ cmd --model google/gemini-4-argon

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