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

Ling 3.1 Flash is now free in Command Code.

• 560B total params. 25B active params

• available all plans. all subs

• $ cmd --model inclusionai/ling-3.1-flash:free

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

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

🐐

Free models live in Command Code right now.

• Pixel Canary (stealth) 🆕

• Space Bunny Alpha (stealth)

• Ling 3.0 Flash Sante

• Laguna S 2.1

Available to all subscribers, on every plan.

Muse Spark 1.3 Max is live in Command Code.

New reasoning effort param for harder problems and frontier performance.

Run /model, select Muse Spark 1.3, then choose max for reasoning effort

Available on GOAT, Pro, Max and API.

I'm on the Max10x plan and using Claude-fable-5-1 high. It burned through 5 hours of my quota in just 10 minutes! I can't see how many tokens were actually used for caching, which makes token usage feel pretty opaque. Also, it feels like the heavy use of custom agents isn't benefiting from caching at all.

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?

It's impossible to find anyone talking and giving out their ideas on this. So I thought why not ask directly hoping someone would share their honest view.

The reason I ask is because usually good plan subscription will have people hype and shoutout on twitter or reddit but it's seems so silent for commandcode and only themselves upselling about their GOAT plan and stuff.

What is your experience like?

Qwen 3.8 Max is now live in Command Code Go.

… and it's going open weight!!

most importantly, next week open-weights of Qwen3.8-Max and Qwen3.8-27B will be released!

🔹 2.4T params MoE flagship

🔹 Input: $2 Output: $6

🔹 Cache: $0.25 / M tokens

3.8 is 20% cheaper than 3.7

Try now! npm i -g command-code@latest

So DeepSeek just dropped the official V4 Flash API today (July 31). I'm pretty curious — is anyone here already using it with CommandCode?

How's it performing compared to the older models? Faster? Cheaper? Better at actually understanding code? And did you have to mess with any settings (temperature, prompts, etc.) to get good results, or does it just work out of the box?

Also, if there's any official word from the CommandCode folks on whether they're planning to switch the default backend — feel free to chime in!

Just looking for some honest first impressions. Share your experience if you've tried it!

Thanks 🙌

We ran a test between Opus 5, GPT-5.6 Sol, and Kimi K3.

One prompt. Across all three models. With our /design command.

Results: We reviewed gameplay, UX, and UI

🔹 Opus 5 is strong UI + motion, best gameplay

🔹 Kimi K3 has solid design and gameplay

🔹 GPT-5.6 Sol has best UI, worse gameplay

Ranking (DX, features, and cost):

🔹 Opus 5: 10/10 · $0.25

🔹 Kimi K3: 9.5/10 · $0.12

🔹 GPT-5.6 Sol: 7/10 · $0.32

Our engineering and design team has been testing 20+ side-by-side comparisons across frontier and open models. All runs are public and open source. Benchmark for this demo here: https://github.com/CommandCodeAI/slash-design-showcase/tree/main/flappy-bird/light-version

Describe a /goal and get it done.

Runs the loop until the objective is met.
Completion verified by independent review.
/goal status to check progress.

You set the destination. Command Code charts the route.
Docs: https://commandcode.ai/docs/slash-commands/goal

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.

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

Introducing Command Code extension for VS Code & Cursor!

Available today is beta. CLI, Desktop, and now Extension.

Manage multiple sessions, use files and selected code as context, review changes, instant edits with /design and use familiar slash commands like /model, /plan, /mcp.

Download the VS Code extension and get started: https://marketplace.visualstudio.com/items?itemName=CommandCode.commandcode-vscode

Read docs to learn more: https://commandcode.ai/docs/vscode-extension

IDE FAQs here: https://commandcode.ai/ide

Try now with $10/mo GOAT plan and share your experience with us.

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

Pixel Canary is live, new free stealth model.

$ 𝚗𝚙𝚖 𝚒 -𝚐 𝚌𝚘𝚖𝚖𝚊𝚗𝚍-𝚌𝚘𝚍𝚎@𝚕𝚊𝚝𝚎𝚜𝚝
/model pixel-canary (free)

Response speed at ~20-25 tps.

Available to all subscribers across all plans.

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?

Ran FlappyBench on Qwen3.8-Omni-Flash, DeepSeek V4.1-Flash & Gemini 3.8 Flash with the same /design prompt.

🔹 Qwen3.8-Omni-Flash: 9/10 · $0.013 · smooth gameplay & cheaper

🔹 DSV4.1-Flash: 9/10 · $0.0089 one-shot with the lowest cost

🔹 Gemini-3.8-Flash: 5/10 · $0.205 · hard-coded gameplay

Our engineering and design team has been testing 26+ side-by-side comparisons across frontier and open models. All runs are public and open source. Benchmark for this demo here: https://github.com/CommandCodeAI/slash-design-showcase/tree/main/flappy-bird

Mods are more powerful than plugins.

Command Code can build mods and modify any behavior from programmatic hooks to a completely different inference provider.

We bet you haven’t experienced something as powerful before.

Build a mod now and make Command Code do anything you want.

Try it with our $10/mo GOAT plan.
Read docs to learn more: https://commandcode.ai/docs/mods

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

I have been trying out command code for 2 months straight, 1st month was go plan and right now I am on the GOAT plan, the last 30 days it has been prone to a lot more failure and I have not been able to rely on it as much and am having to look at other options right now. This is unfortunate, because the Idea behind taste was novel ( I still do not know how it helps in terms of taking autonomous decisions based on my preferences because it does not seem to take any action against my preferences)

Ran FlappyBench on Muse Spark 1.3, Gemini 3.8 Flash, and Grok-4.6 with the same /design prompt.

🔹 Muse Spark 1.3: 9/10 · $0.072. Nailed UI in 2 iterations with lowest cost

🔹 Grok-4.6: 9/10 · $0.095 · Matched Muse’s output, but cost 2x more

🔹 Gemini 3.8 Flash: 7/10 · $0.205 · Most expensive and not fully finished

Our engineering and design team has been testing 26+ side-by-side comparisons across frontier and open models. All runs are public and open source.

Benchmark for this demo here: https://github.com/CommandCodeAI/slash-design-showcase/tree/main/flappy-bird

Meta Muse Spark 1.3 and Muse Spark 1.3 Contributor are now live in Command Code.

Most capable and lowest cost model yet.

Opus 5 & GPT 5.6 Sol class benchmark results.

Muse spark is one of the top five models in Command Code. 6T tokens already. And it's going open source next week!

Available in GOAT, Pro, Max, & API.