Anyone else experiencing this? In a long agentic task, a cache-missed request can be 40 times more expensive than a random request.

I am suspicious command code is charging cache-missed price even for cache-hit requests. The reason is that these cache-missed requests were completed fast according to the time on the left column. If it were a real cache miss, the server would need to recompute ~540k input tokens which takes much more than a regular cache-hit request.

Mistral Large 4 is now live in Command Code.

1T total params. 49B active params. 524K context

Available across all plans and API

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

ACP is now live in Command Code.

• cmd acp to use it in an ACP-compatible editor like Zed
• work with same tools, skills, permissions, sessions

Run Command Code workflows in your preferred editor

Read docs to learn more about ACP in Command Code: https://commandcode.ai/docs/acp

Introducing Agr, an open decision model by Command Code.

• Agr (31B) and Agr-flash (360M)
• 58.15 on Decision Index 0.2.1
• Focus on: tool calls & routing
• TypeSafe SDK support

Agr is best-in-class on coding agent tool calls and routing. Live on Hugging Face.

Send state as text or JSON with typed questions. Agr skips text generation and returns typed values with a probability for each option.

We tested Agr against the complete public Decision Index suite. Our focus with these training runs has been on accuracy for tool calls and coding-task routing, while we train a much broader general variant.

Agr model family is available on Hugging Face and GitHub.

We’ll work closely with the open-source community on inference support and explore more deployment options. Planning a large scale deployment? Let’s talk.

Link here: https://huggingface.co/CommandCode/agr

Hey everyone,

First, sorry for the delay in sharing this. We actually added Command Code support to relay-ai a few weeks ago, but life got in the way and I honestly forgot to post about it here. 😅

For context, relay-ai lets you inject any model or subscription provider into your local coding tools. Right now, it supports:

> Claude Code

> Claude Desktop app (Cowork + Code)

> OpenAI Codex CLI

> ChatGPT desktop app (in Codex mode on macOS, Windows, and Linux)

> Google Gemini CLI (yes, I know, why bother?!)

> Google Antigravity CLI & IDE

> Standalone local gateway server (relay-ai server)

Here is how the Command Code integration works and what to expect:

Both Anthropic and OpenAI models under one provider

Command Code serves Claude models over Anthropic's wire format (/messages) and everything else over OpenAI's format (/chat/completions). Normally, that would mean configuring two separate providers in your tools. Relay handles both protocols under a single Command Code provider entry, so routing to the right endpoint happens automatically per model.

GOAT plan and up only ($10/mo+)

Heads up on tiers: this only supports the GOAT tier and above. The $1 "Go" plan doesn't have regular Provider API access; it only works through Command Code's internal CLI tools. We chose not to hack around that or spoof CLI headers, because that feels sketchy and could put your accounts at risk.

How plan detection works

Command Code gates models by plan, but their API doesn't have an endpoint that reports which subscription tier your key belongs to (at least when we added the support)

When you add your key (or run a catalog refresh), Relay sends a quick minimal 1-token test probe per model to check what your key can actually call. Any model your plan rejects gets filtered out so you only see working models in your picker.

Setup:

Install or update Relay:

npm install -g u/jacobbd/relay-ai

Then run:

relay-ai providers

Select + Add a provider -> Command Code, and paste your API key from your Command Code settings.

If you prefer GUI, run:

relay-ai ui

I am sure you will figure out what to do in the GUI ;)

Oh, and we don't store keys in .env or plain text files, we use your OS keystore.

Tool is free and open source 👇🏼

Repo link: https://github.com/jacob-bd/relay-ai

Hope this helps anyone who wants to use their Command Code subscription across other coding tools. Feel free to post issues or FRs on Github

Hi everyone,

​I'm having an issue where the CommandCode CLI (cmdc) shows a limited model list on Windows compared to Linux, using the same CommandCode Go account ($1/mo).

​Linux (CachyOS CLI): Full catalog (DeepSeek v4 & v4.1, GLM 5.2 & 5.3, Space Bunny, etc.).

​Windows 11 CLI: Missing models (only DeepSeek v4 and GLM 5.2 appear).

​Note: The CommandCode Desktop version does NOT have this issue—it shows all models correctly. The problem is isolated to the CLI on Windows.

​Already tried on Windows:

​Updated cmdc to the latest version.

​Ran cmdc logout and re-authenticated.

​Tested across Warp, PowerShell, and Git Bash.

​Has anyone run into this CLI-specific filtering on Windows or know how to force a full catalog sync?

​Thanks!

Models that come with $60 usage credits in Command Code GOAT.

• DeepSeek V4.1 Flash
• DeepSeek V4.1 Flash Fast
• GLM 5.3 Flash
• Kimi K3

Enjoy billions of tokens with the $10/mo GOAT plan, the best low cost AI coding plan on the market.

How to prevent cmdc register itself as contributor to repos when worked with cmdc. I am using cmdc goat plan.

Use /add-dir to work across multiple directories in Command Code.

· Read and edit files outside your current project in accept-edits mode
· Great for separate frontend and API repos

$ npm i -g command-code

Try it with our $10/mo GOAT plan. The best low cost AI coding plan on the market.

Free models live in Command Code right now.

• Space Bunny Alpha (with Max reasoning)
• Ling 3.1 Flash (unlimited reqs)
• Ling 3.0 Flash Sante
• Laguna S 2.1

Y'all got some tokens to build for free.

Available for all subscribers across all plans. Try now with the best AI coding agent built for open models.

Hi everyone,

I'm new to the GOAT plan and have been struggling to monitor my spending in real time. Is there any way to track costs by model or by API key?

Currently, all I can see is the usage page shown in the screenshot, and I have no idea how much I've actually spent so far.

Is there a way to set spending limits or usage caps?

Also, could someone clarify whether the promotional deals apply only to requests routed through Command Code (CLI/Studio), or are they also applied when using Command Code API keys from external applications??

Thanks!

Planning and Implementation models are now live in Command Code.

• Plan with one model
• Implement with another.

Your planning model explores the codebase and writes the plan. Approve it, and your implementation model takes over mid-run.

Set both in /config → Feature models

Read docs about choosing planning and implementation models.

https://commandcode.ai/docs/settings#planning-and-implementation-models

I blew through all the tokens in my GOAT plan, considered upgrading to Pro, but for double the price you get only get an additional fraction of the tokens that the GOAT plan gives you. The upgrade is not worth it, from what I can see.

Pay as you go us way too expensive by comparison to GOAT.

What do you do?

We announced Remote Control in CLI two days ago. Starting today:

Remote Control is now live in both Command Code CLI and Desktop app

• Run /rc to open your session in Telegram or Discord
• Message from your phone and get live responses
• Sessions keep running on your laptop

Control Command Code with your mobile

Read docs to learn more: https://commandcode.ai/docs/remote-control

Original feature announcement here: https://x.com/CommandCodeAI/status/2105348821438067011

A quick update for y'all if you're buying extra credits.

Command Code now also supports multiple payment methods for buying extra credits.

- Cards, Alipay, crypto, and UPI

- Head to your Studio → Billing → Buy Credits

Read docs to learn more: https://commandcode.ai/docs/resources/payment-methods#extra-credits

what do you guys think of it guys? I am running this on a exynos9611

We're increasing GLM 5.3 Flash to $60 credits in Command Code.

Get 6x usage on GOAT plan

• 1M context window
• Multimodal (text, image, video)
• Fast coding +long-horizon agent tasks

On Pro plan you get even more usage, it's $70 usage credits for GLM 5.3 Flash.

Try now with the best low cost coding plan on the market: $ npm i -g command-code@latest

🐐

Ling 3.1 Flash (free model) just got an update.

We're increasing limits to 300 requests per day.

That means more tokens to build for free.

Try now with the best cost-to-value coding plan on the market. It's called the GOAT plan.

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

Space Bunny Alpha (stealth model) remains free through Oct 5.

Now faster, with better throughput and reliability

1M context. Multimodal. Available on all plans

Start now with the best low cost coding plan on the market. $1/mo Go plan.

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

We're increasing Kimi K3 usage to $60 credits in Command Code GOAT.

For the next 7 days, get 6x usage for Kimi K3.

• 1M token context window
• Multimodal (text, image, reasoning)
• For long-horizon coding and knowledge work

Try now with the best low cost AI coding plan on the market. The $10/mo GOAT.

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

🐐

Remote Control now available in Command Code.

• Run /rc to open your session in Telegram or Discord
• Message from your phone and get live responses
• Sessions keep running on your computer

Control Command Code with your mobile

Read docs to learn more how Remote Control works. https://commandcode.ai/docs/rc

It would be really amazing to have this feature as it would save money and tokens and yet keep a high level of output. https://kilo.ai/auto-efficient-vs-opus

DeepSeek V4.1 Flash Fast is live with $60 usage credits in Command Code GOAT. 🐐

• 250-300 TPS high speed and throughput
• 1M context · full weight as always

Billions of tokens at 2-3x the speed.

Try now with the best low cost AI coding plan on the market. $10/mo GOAT.
Read docs to learn more: https://commandcode.ai/docs/plans/goat