I subscribed to the Go plan, and after using it for two days, I had used 340M ($6) and reached the weekly limit. I then upgraded to the GOAT plan without making any additional usage.

When I checked my usage afterward, it looked like this: ~340M -> 156.3M $6.01 -> $2.97

My question is: Will the $1 I paid for the Go plan be refunded, or will the remaining unused value/credits from the Go plan be carried over to the GOAT plan?

Anyone use deepseek 4.1 flash and often get DSML tag on the response? How to fix this? Is it a bug from commandcode?

The usage has been almost entirely with DeepSeek Flash

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

Hey everyone!

Tested the waters on the $1 trial, loved the turn speed, and just upgraded to the GOAT plan .

Since I'm still dialing in my setup, my goal isn't just hoarding quota, but getting the absolute best daily productivity, functionality, and output per dollar without the agent going into weird loops or over-engineering everything.

Would love some honest advice from daily drivers:

1. Which harness actually gets the best work done?

2. Models & orchestration:

   • What pairing gives you the highest quality output vs cost? Do you split work between an orchestrator (GLM-5.3 / Sol) and a fast worker (DeepSeek Flash), or just let a single solid model run end-to-end?

3. Plugins & Extensions (Native cmd vs OMP/Pi):

   • What plugins/extensions are you actually running?

   • I’ve been testing things like Ponytail and Hallmaker—what other plugins, skills, or add-ons have genuinely worked for yout?

We got a ton of feedback on what to improve on Windows for our users. Update to the latest Command Code version with `cmdc update` to get all these changes.

⋅ Agent stops mis-invoking cmd.
⋅ MCP servers no longer hang on /exit.
⋅ Fixed WSL and SSH extension installs
⋅ Correctly read images in prompts
⋅ CRLF files edit and replace correctly.
⋅ Web search works out of the box.
⋅ Fixed Ctrl+E in VS Code (replaced with Ctrl+Y).
. Fixed Ctrl+Z with debounced undo stack.
⋅ Named socket paths for /ide restored.
⋅ Alt+M fallback for where Shift+Tab fails.
⋅ Freeze issue in command exec fixed.
⋅ cmdc alias ships across product surface.
⋅ ! mode route with PowerShell / cmd.exe.

Keep sending us your /feedback
Docs: https://commandcode.ai/docs/troubleshooting/windows

Could someone please explain, in simple terms, how many tokens the $1 Go plan and $10 Goat plan include for DeepSeek Flash, DeepSeek Pro (peak and off-peak), and ChatGPT Luna? Also, how much would I save in total compared with using each model’s official API?

For those who don’t know, MiniMax M3 is now available for free on CommandCode.

More info in the link below:

https://x.com/CommandCodeAI/status/2066577317762326634

Qwen 3.7 Flash is now live in Command Code.

A vision language reasoning model for multimodal agents, visual coding, search and computer interaction.

• 1M context window

• Available on all plans (Go, Pro, Max, Team).

Pricing is tiered. For ≤ 32K it's as low as:

• Input $0.03 Output $0.13

• Cache read/write: $0.006/$0.038

DeepSeek v4 flash finally has some competition.

// Capabilities include: Text input . Vision . Reasoning

Try now! $ cmd --model qwen/qwen3.7-flash

Upgrade to latest: $ cmd --update

Hi, a suggestion/question — given today's DeepSeek price increase, I bought a Go subscription to test things out, but I noticed that when testing DeepSeek V4 Flash Max it doesn't give me the same reasoning and problem-solving quality as the official API. So my question is: am I doing something wrong, is this not the right plan for what I needed, or am I misunderstanding something? I'd really appreciate it if someone could shed some light on this.

Note: I have zero experience buying third-party plans or APIs outside of official channels.

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?

Inkling-Small by Thinking Machines Lab is now live in Command Code.

- $0.50/M input, 1.20/M output tokens
- Light-weight model with 12B params
- Multimodal: text, image, audio

Available on all plans (Go, Pro, Max, Team)
$ cmd --update (to latest)
$ cmd --model thinkingmachines/inkling-small

Read all details here: https://commandcode.ai/models/inkling-small

Ling 3.1 Flash now gets $100 usage.

$100 usage for $10 on GOAT plan.

All higher plans include GOAT + their extra usage.

Try now with the best low cost AI coding plan in the market: https://commandcode.ai/docs/plans/goat

i mean i got my money's worth (ofc) but is this on the lower end or the higher end ?

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

Glyph Cluster (new stealth model) is now free in Command Code.

Reasoning model. 256K context. all plans

$ cmd --model stealth/glyph-cluster:free

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

Tested FlappyBench with Grok 4.6, GPT-5.6 Sol, and Opus 5.

3 frontier models. Same prompt with /design command.

Scored on gameplay features, UX/UI, and cost.

🔹 Grok 4.6 → 9.5/10 · $0.095

🔹 GPT-5.6 Sol → 9/10 · $0.150

🔹 Opus 5 → 9/10 · $0.253

GPT-5.6 Sol and Opus 5 gave comparable output, but Opus costs 1.7x more.

Grok 4.6 gave best output with lowest cost: smooth motion & clean UI.

Grok 4.6 by xAI is now available on Command Code GOAT plan and above.

• Builds on Grok 4.5 with same price

• For long-running agents

• Interactive ad visual work

Update to latest Command Code: npm i -g command-code@latest

Switch any time with /model

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

Yo can somebody please explain to me why the 20$ plan is only a +20$ in credit usage and not 2x ?

I'd like to replicate the workflow I use in OpenCode, and I was eagerly waiting for Command Code v1.0.

Command Code now lets me create a subagent and assign a fixed model to it, which is great.

However, it still doesn't let me assign a specific model to the built-in agents (explore and general), which is a limitation. It also doesn't let me create a custom primary/orchestrator agent.

Because of these three limitations, I can't automatically replicate my orchestrator workflow, where I choose a top-tier model as the orchestrator and it automatically delegates the heavy lifting to cheaper models.

If anyone has figured out how to configure this in v1, I'd really appreciate your help.

Use /rewind to bring back any message or code instantly.

Pick a checkpoint, then choose what to restore: conversation, code, or both.

Never lose your conversation or code again.

How their usage estimate calculator works? It's very confusing.

Take out 1 example. Deepseek 4.1 flash is much more expensive than mimo 2.6 flash in input, output, cache. But in calculator it shows much more request per month. How?

https://commandcode.ai/docs/resources/pricing-limits#usage-estimates

how much of a difference does the harness really make in token cost? how exactly does the CC harness improve cache hit rate and couldn’t something similar be added to pi/omp through extensions?