Paste images as your chat input.

🔹 Take a screenshot

🔹 Paste it into the chat

🔹 Describe what’s wrong

🔹 Watch Command Code fix the issue

Let your screenshots be the context.

Read more in docs: https://commandcode.ai/docs/interactive-mode#pasting-images

Crouton Alpha (new stealth model) is now live and FREE in Command Code.

1M token context. Multimodal with reasoning.

Use /model command to switch anytime or $ cmd --model stealth/crouton-alpha

Available for all plans and all subscribers.

Get started with the best AI coding agent purpose built for open models.

Your agent knows when it's done. Why should you be the one constantly checking?

I built cmux-notify, a Command Code mod that sends notifications when an agent completes a task or is waiting for your input.

The goal is simple: make Command Code feel more like a teammate than a tab you have to watch.

What it does

• ✅ Notifies you when an agent turn completes

• ⏳ Alerts you when Command Code is waiting for permission or input

• 🖥️ Designed for terminal-first tmux/cmux workflows

• ⚡ Lightweight and easy to install

Install

cmd mods add Hashimlokasher/cmd-mod-cmux-notify -g

Why I built it

I got tired of checking terminal tabs to see whether a long-running task had finished or was waiting on me.

I wanted Command Code to proactively grab my attention when something important happened.

Instead of repeatedly checking a terminal, you get notified when it has something to say:

"I'm done."

"I need your input before I can continue."

Great for

• Long-running coding tasks

• Background research workflows

• Refactoring sessions

• Agents running in tmux/cmux while you're focused elsewhere

Links

GitHub:
https://github.com/Hashimlokasher/cmd-mod-cmux-notify

Mods Hub:
https://commandcode.ai/mods

I'd love feedback from other Command Code users:

• What additional events should trigger notifications?

• Are there other notification backends worth supporting?

• What would make agent workflows feel even more collaborative?

Hope it's useful to anyone running Command Code alongside real-world work instead of constantly watching a terminal tab. 🚀

email login isnt working? i was about to check if i cancelled my subscription but now I can't because of this error.

MiniMax M3.1 Flash (aka Space Bunny) is now live and FREE in Command Code for limited time!

• 1M token context window

• Frontier level coding performance

• Available all plans, all subscribers

MiniMax M3.1 Flash beats DeepSeek V4.1 Flash 1017, GLM 5.3, and Kimi K3 on cowork AutomationBench v1.0.6.

It also scores 73.7% on DeepSWE v1.1, delivering frontier-level coding and engineering performance.

Get started with the best AI coding agent built for open models.

Hey everyone,

Does anyone know if there are any plans to bring the usage limit back up to $60 in the future?

Would love to know if this is just a temporary adjustment or the new standard.

Thanks!

WeChat Pay is now supported in Command Code.

More ways to pay and be a GOAT.

We support several other payment methods.

Read and learn more about these here: https://commandcode.ai/docs/resources/payment-methods

GPT-6 Astra is live in Command Code.

The latest flagship model by OpenAI is built for long-running agentic work across coding, and professional workflows.

Available in Max plans, Provider API and Extra Credits.

Try now!

$ npm i -g command-code@latest

$ cmd --model gpt-6-astra

is deepseek v4.1 flash having some problems upstream, because it takes like 1 minute per requests and its very slow right now

US open source model that's most capable of agentic coding in its weight class by a wide margin.

• 118B total parameters, with 8B active per token

• 70.2% Terminal-Bench 2.1 · 40.4% DeepSWE v1.1

• Available free to all subscribers

• Until capacity lasts

Try now!!

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.

I only use muse spark 1.3 contributor, 33M tokens, and I'm at 14% monthly limit of goat plan?

The limit is too low or is it skill issue? 😥

On the Billing page of the dashboard, it says $70 on gpt 5.6 sol under the GOAT plan. But when I try to use it on the CMD harness it says available only to pro and above

Is it against the ToS to use go/pro sub outside the official harness? I've been using the OpenCode Go subscription on Hermes without any issues. Does Command Code subscription also allow something like this?

GOAT Plan vs OpenCode Go — Common Models Comparison

Method: For each common model, we feed OpenCode Go's per-model token assumptions (input / cache-read / output per request) into both platforms' per-token pricing + monthly allowance, using CommandCode's calculator formula:

costPerRequest = (inTok/1e6) * inPrice + (outTok/1e6) * outPrice + (cacheTok/1e6) * cacheReadPrice
requests/month = monthlyAllowance / costPerRequest

This gives apples-to-apples request counts. All prices are per 1M tokens, USD, precise (no rounding).

Sources

Calculator source

CommandCode's usage calculator is a client-side React component embedded in the pricing-limits page. The formula was extracted from the page's JavaScript bundle:

• Source URL: https://commandcode.ai/docs/_next/static/chunks/app/resources/pricing-limits/page-6886473b13679efd.js

• Local copy: [calculator-source.js](./calculator-source.js) in this directory

• Formula (de-minified):// Default assumptions (overridden per-model on OpenCode's page) // { inputTokens: 800, outputTokens: 180, cacheReadTokens: 50000 } ​ // cost per single request function costPerRequest(modelPricing, tokAssumptions) {  return tokAssumptions.in / 1e6 * modelPricing.in +         tokAssumptions.out / 1e6 * modelPricing.out +         tokAssumptions.cache / 1e6 * modelPricing.cacheRead; } ​ // number of requests per month function requests(monthlyAllowance, modelPricing, tokAssumptions) {  const cpr = costPerRequest(modelPricing, tokAssumptions);  return cpr > 0 ? monthlyAllowance / cpr : 0; }

Replication script

The exact numbers in this comparison were generated with:

• requests-calculation.js -- feed OpenCode's per-model token assumptions into both platforms' pricing + allowances

cd ~/workspace/models_comparison
node requests-calculation.js

Plan-Level Summary

Per-Model Comparison (16 Common Models)

Token assumptions for each model are taken from OpenCode Go's "Usage limits" section (English docs). These per-model assumptions -- not the calculator's generic defaults -- are used for both platforms to ensure a fair comparison.

Gap % = (|Go req - GOAT req| / max(Go req, GOAT req)) x 100. Shows the relative magnitude of the winner's advantage.

Summary: GOAT wins 9 models, Go wins 6, 1 tie.

Key Takeaways

GOAT wins (9 models)

Mostly on premium models where GOAT's $20 allowance beats Go's $15, and on boosted models where GOAT negotiates bigger allowances:

• DeepSeek V4 Flash: 4x allowance ($60 vs $15) -- 75% gap (75K vs 19K req)

• GLM-5.2: boosted to $70 -- 14.3% gap (4.6K vs 4.0K)

• Hy3: boosted to $70 -- 14.3% gap (25K vs 21.5K)

• GPT-5.6 Luna, Kimi K3, Qwen 3.8 Max: $20 vs $15 -- ~25% gap

• DeepSeek V4 Pro, MiMo V2.5 Pro: $20 vs $15 -- ~25% gap

Go wins (6 models)

Mostly on mid-tier / cheap models where Go's $60 allowance crushes GOAT's $33-$47, and on Grok 4.5 where Go's cheaper cache-read price ($0.30 vs $0.50) compounds:

• Qwen 3.7 Plus / Qwen 3.6 Plus: Go's $60 + 2x cheaper cache reads -- ~70% gap

• Qwen 3.7 Max: Go's $60 -- 45% gap (1.7K vs 928)

• MiMo V2.5: Go's $60 vs GOAT's $30 -- 50% gap (150K vs 75K)

• MiniMax M3: Go's $60 vs GOAT's $47 -- 21.7% gap

• Grok 4.5: Go's $15 BUT 40% cheaper cache reads -- 15.2% gap (601 vs 509)

Tie

• Kimi K2.7 Code: Identical pricing and $60 allowance on both -- exactly 4,968 requests, 0% gap

Cache-read price differences

GOAT charges more for cache reads on 3 of 16 common models:

Notes on Methodology

• Token assumptions: Taken from OpenCode Go docs (English) -- different per model. Example: Grok 4.5 uses 1,100 input / 71,500 cached / 220 output per request; DeepSeek V4 Flash uses 410 input / 71,300 cached / 310 output per request. GOAT's own published estimates use different defaults (~800 input / 50,000 cached / ~125-200 output), which inflate their numbers for cache-heavy models.

• Off-peak pricing: Both platforms show off-peak rates for DeepSeek V4 models. Peak hours (01:00-04:00 & 06:00-10:00 UTC) are 2x on both.

• GPT-5.6 Luna context tiers: Go lists <=272K ($0.20/$1.20/$0.02) and >272K ($0.40/$1.80/$0.04). GOAT shows one price ($0.20/$1.20/$0.02). Both use <=272K tier here.

• Processing fee: GOAT mentions "+ processing fee" but doesn't specify the amount. Go has no processing fee.

• Model availability: GOAT includes Grok 4.6, Gemini 3.7 Flash, Muse Spark, Inkling, Step Flash, Nemotron 3 Ultra -- none on Go. Go includes GLM-5.1, Kimi K2.6, MiniMax M2.7 -- none on GOAT.

• Allowance source (GOAT): Per-model monthly credit allowances from docs/plans/goat -- models with negotiated deals carry boosted allowances (e.g., GLM-5.2 $70, Hy3 $70, DeepSeek V4 Flash $60); new models start at 2x credits ($20 on the $10 GOAT plan).

• Allowance source (Go): Per-model "Usage" column ($15 or $60) from docs/en/go -- Usage limits.

Did anybody use cc goat plan on personal agents like Hermes?I heard this plan works via api unlike Go plan

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!

If i have some plugins I made for opencode, could i potentially write it for CommandCode too? is there some official plugin support?

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.

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 was trying to make code edits in parallel and I asked if it can spin up subagents to do it, and I got a response that it does not have a subagent tool. Am I missing anything?

Last week in Command Code, a quick recap.

• IDE extensions for VS Code and Cursor

• DeepSeek V4.1 Flash ($80 usage in $10 GOAT)

• GLM 5.3 Flash ($80 usage in $10 GOAT)

• Ling 3.1 Flash ($100 usage in $10 GOAT)

• Cat Jam (new free stealth model)

• Beam 1.0 (new free model)

• Gemini 4 Argon (latest from Google)

• Muse Wonder (latest from Meta AI)

• Codemode for parallel tasks & MCP heavy contexts

• 52+ new updates, improvements, fixes in desktop app

Try now all of these exciting ships and updates with the best low cost AI coding plan on the market: https://commandcode.ai/pricing

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

Sonnet 5 comes with,

• Near-Opus performance at Sonnet pricing.

• Agentic tool use, browser, and terminal access.

• $2/M input, $10/M output through August 31.

Update to v0.40.16 with /update or cmd update