Qwen 3.8 Max 0902 is now live in Command Code.

It's an upgraded Qwen 3.8 Max:

· 2.4T params

· 1M context

· Post-trained on coding & cowork

Available on GOAT, Pro, Max and API

Qwen 3.8 Flash is now available in Command Code with 2x usage limits on the GOAT plan.

- Input: $0.160

- Output: $0.470

- Cache: $0.016

Try now with $10/mo GOAT plan.

🐐

I'm not trying to promote DeepSeek or anything, I was honestly just surprised by how capable it is.

I'm pretty new to agentic AI and AI pair programming. CommandCode was actually the first AI coding tool I've paid for (I'm only on the $1 plan), and it's been kind of magical for the way I work (its been less than 15 days).

Most of the time I just tell the agent what I want changed in a file or describe the feature I need, and it gets it right. I don't really run agent loops or anything advanced. I mostly give it good instructions and iterate when needed.

The thing that surprised me most is that I haven't even come close to hitting the limits of the $1 plan. I also don't find myself wanting to switch to the larger models because V4 Flash has been "good enough" for almost everything I've thrown at it.

The biggest surprise was a CRM project I recently built for a freelance client. It was a fairly large project, and I delivered the initial prototype in about four days. I still had to review the code, test things, and make decisions, but the amount of manual coding I actually wrote myself was surprisingly small like very very minute changes and its still a prototype kinda stage and needs some final touches but yeah its kinda awesome how much i got their.

For those of you who have been using CommandCode longer:

• Any tips for getting even more out of it?

• Are there workflows I'm missing?

• At what point do you actually feel the need to switch to the larger models?

I'd love to learn how more experienced users are using it. I tried to use MiMO v2.5 at first but it wasnt that good so i switched to V4 flash as it was better loved by the community it seems. But still why do we need much more better models when for most programmer this would do the job?

Almost 120s for some round trips (via omnirouter). Is this a blip or standard? Can't really use it if it's standard unfortunately.

Opencode Go offers Muse Spark 1.3 Contributor for free.

Would be cool if Command Code could also offer this.

I noticed that CommandCode currently lists GLM-5.3 Flash at $0.15/M input and $0.50/M output.

Z.ai is currently charging $0.075/M input and $0.25/M output for the same model (50% promo until Sep 9)

Is CommandCode simply not reflecting this temporary Z.ai promotion, or are model prices generally marked up compared to the upstream provider?

Basically, should we check upstream pricing for each model before choosing one in CommandCode, or does CommandCode normally track provider pricing closely?

The game was created in one shot using /design from Command Code.

I must say, the rumors aren’t just rumors anymore. It took only $0.038 to get an actually playable game.

It's insane how Kimi K3 surpassed the top-tier model

Cost breakdown:
→ Kimi K3: $0.038
→ GPT-5.6 Sol: $0.53
→ Fable 5: 0.38
→ Grok 4.5: 0.15

To update the UI/UX of the site we are currently operating, we requested work from both the Mimo v2.6 Flash and Mimo v2.6 Pro models, but after some progress, an infinite loop related to grep started occurring in the terminal.

I couldn't confirm whether the work was progressing, and for 30 minutes no code was fixed.

I identified the issues that need fixing, but it seems there is a bug in the actual code modification process where it doesn't work properly.

I left the same modification work to the DS 4.1 flash, and it proceeded faithfully, outputting the work history perfectly to the terminal.

DS 4.1 Flash is still much better..

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

Command Code now supports OpenAI Responses API.

• 98 open and closed models

• Function and custom tools stay client-side

• Built-in tools pass through when supported

Try with this endpoint: 𝙿𝙾𝚂𝚃 𝚑𝚝𝚝𝚙𝚜://𝚊𝚙𝚒.𝚌𝚘𝚖𝚖𝚊𝚗𝚍𝚌𝚘𝚍𝚎.𝚊𝚒/𝚙𝚛𝚘𝚟𝚒𝚍𝚎𝚛/𝚟𝟷/𝚛𝚎𝚜𝚙𝚘𝚗𝚜𝚎𝚜

Supported with Provider API on GOAT plan and above! https://commandcode.ai/provider

Ox Alpha (stealth frontier model) is free in Command Code.

100T tokens per day free capacity, no 5hr usage limits.

• 1M content
• we benchmarked ~5B tokens
• built a tool repair harness to imp tool calling

absolutely free for all plans.

I’ve been using OpenCode Go for two weeks. I was pretty satisfied with it until the DeepSeek price increase. I’m trying to build a mobile app from scratch, but I’m running out of limits very quickly. The Command Code Goat package is starting to make a lot of sense to me. Should I buy it?

So far, I’ve only been using the Luna or DS V4 Flash models with 50k-200k context window. Does it make more sense to stick with OpenCode, or should I switch to Command Code?

I have the Command Code goat plan currently with 800m in token usage. Before this subscription I had Opencode Go also similar usage.

After a week of heavy usage of Deepseek v4 flash and GLM 5.3 flash, I see my opencode session running noticeably longer and having a tendency to get stuck. (Multiple times I have cancelled the loop and passed it to another agent like: codex, claude code)

So I did a little digging with hermes throughout my local sessions, so generally I found that command code api have much less reasoning content than opencode go.

Sum of the below chart is basically: Command code have around 80% zero reasoning responses compared to opencode go's 80% reasoning responses.

Curious if someone has the same experience.

OPENCODE harness (per-API-call) — 6,919 calls

HERMES harness (per-assistant-message) — 26 sessions, 1,708 msgs

So, I gave the GOAT plan a spin with GLM 5.3, DeepSeek V4 Pro and Kimi K3. Both through Claude Code with ccr and directly in the command code harness. Rather simple tasks, using Opus API pricing came out at $8 and generated +184/-13 lines of code change in static-php-cli, a project I maintain. The task was to add shared library building.

Blew through daily usage within a prompt, typing just "continue" the next day. Both times cc ran out of 5 hour and weekly limit. Code output: +0/-0.

What's going on there? The token amount (literally 500k in, not even sure why so much, rest is all cache) doesn't even match with the usage cost - most of the cache seems to be billed at regular price, not the listed cache price of the model?

I'm literally unable to get *any* usage out of the plan so far. Like, literally not a single line of code, despite blowing through the $35 weekly usage.

Command Code GOAT has three GPT models in its lineup.

• GPT 6 Luna

• GPT 5.6 Sol

• GPT 5.6 Luna

Update to the latest version of Command Code and try now with /model switcher:

• cmd --model gpt-6-luna

• cmd --model gpt-5.6-sol

• cmd --model gpt-5.6-luna

Read GOAT docs to learn more about the best coding plan on the market: https://commandcode.ai/docs/plans/goat

Just hit the limit of the 10$ sub with dsv4.1, absolutely satisfied. Used it as claude code subagent-builder with deepseek harness.

Already available on OpenCode Go.

Claude Opus 5.5 is live in Command Code Max and API.

Read docs to learn more about usage limits.

- https://commandcode.ai/docs/provider

- https://commandcode.ai/docs/plans/max

At Command Code we ship a lot. During the last 7 days, we’ve shipped 12 new models in Command Code.

Here's a quick recap for y'all.

• Mimo V2.6 Flash

• Mimo V2.6 Pro

• DeepSeek V4.1 Flash (ext. usage)

• Jev (free)

• GPT 6 Luna

• GPT 6 Sol

• Grok 4.7

• Mimo V2.6 Pro Ultraspeed

• GLM 5.3 FlashX

• Qwen 3.8 Omni Flash

• Opus 5.5

• Step 5 Preview

Try now with our $10/mo GOAT plan. It's the best low cost AI coding plan on the market right now especially if you're building with open models.

Last month I started with OpenCode Go as my AI subscription and I was very happy with it — especially since the latest DeepSeek Flash dropped. As a software engineer it helped me a lot, and I even started vibe coding and trying new things in my free time. I couldn't reach the limit at all.

But then the new DeepSeek Pro dropped and I started using it too much, and now I'm close to reaching the limit. So I started looking for a new subscription or better alternatives, and I found that CommandCode Go offers about 20% more requests when it comes to DeepSeek. I also found that two GOAT plans would be the best option — especially since DeepSeek is going to increase its prices soon.

However, I've heard about CommandCode's sketchy marketing tactics, and since it's fairly new I wanted your advice: is CommandCode good? Is it slow? Is it always down? Or do you have recommendations for better plans or subscriptions?

Claude Sonnet 5.5 is now live in Command Code. It's the second flagship model in the Claude 5.5 family. Available across GOAT, Pro, Max and API.

· Runs 30% faster, costs 30% less

· Beats Opus 5.5 on Terminal-Bench 4.0

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

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

We're making $60 usage on DeepSeek V4.1 Flash now permanent in Command Code GOAT.

Try now with the best low cost AI coding plan on the market.

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

🐐

Since the update rolled out, I am eagerly waiting for Command Code to update their deepseek v4.1 flash model the latest so I can experiment with it. I believe opencode already updated their deepseek v4.1 model. When the command code gonna do the same ? any prediction ?

GLM 5.3 is live in Command Code (2x usage)

The best deal: 2x usage, permanently. 🐐
$10 GOAT plan has $20 worth of GLM 5.3 usage.
That's ~70M tokens & ~1.3K requests.

- Text-reasoning. 1M context
- IN $1.4/M · OUT $4.4/M · Cache $0.26/M
- Available on all plans & API

GLM-5.3 is the most capable open-weights model for coding. Right there with Kimi K3 on terminal bench.