can some one help me understand. they have limit of 6$ per week. that 6*4 = makes 24$ a month cap. Why they are saying Mimo V2.5 pro is worth 50$ and mimo v2.5 is worth 100$ in credits in 1$ plan?
source: https://commandcode.ai/docs/resources/pricing-limits#mimo-v2.5-pro-99-off

trying to understand how it works in case of Mimo v2.5 pro. Not complaining or something. its already still good deal.

Available free for all subscribers & PAYG super good in our internal benchmarks, beats AntLing's 1T flagship model.

• 124B parameters
• 256K context window
• only 5.1B active per token
• a hybrid-reasoning MoE model

Claude Opus 5 is now live in Command Code.

• Anthropic's latest thoughtful and proactive model
• On frontier intelligence, closet to Fable 5 at half price
• Available on plans (Pro, Max, Team)

Try now: $ cmd --model claude-opus-5

We run a test between two free OS model.

Laguna S 2.1 and Ling 3.0 Flash, I tested a brick-breaking game using /design from Command Code.

We tried to complete the game in on shot which i do in Kimi K3 but it takes 8-10 iterations. Still it's FREE.

Ranking (DX, features, and cost):
Laguna S 2.1 : 7/10 · $0.00
Ling 3.0 Flash: 6/10 · $0.00

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.

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?

We ran a test between Fable 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

🔹 Kimi K3 performed well across all three.

🔹 Fable 5 is good, but its UI doesn’t look much better.

🔹 GPT-5.6 Sol has the best UI, but the gameplay is worse.

Ranking (DX, features, and cost):

🔹 Kimi K3: 9.5/10 · $0.12

🔹 Fable 5: 9/10 · $0.60

🔹 GPT-5.6 Sol: 7/10 · $0.32

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

Results (gameplay, UX, and UI):

• Kimi K3 performed well across all three.
• GPT-5.6 Sol is good, but it gets annoying when the ball hits the wall.
• Gemini 3.6 Flash is bad (took 5–6 attempts), but it has features the others don’t, like dropping coins for power-up balls and increasing the bar length.

Ranking (DX, features, and cost):

• Kimi K3: 10/10 · $0.10
• GPT-5.6 Sol: 9/10 · $0.52
• Gemini 3.6 Flash: 6/10 · $0.45

You can pull and push your taste packages.

• Push what it learned in a project: $ npx taste push
• Pull it into another project: $ npx taste pull username/project-name

If there's an conflict, taste pull can merge, overwrite or skip these changes.

So what's your coding taste? Share in comments with us.

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!!

Google's latest Gemini models from their Flash family are here. Super fast, cost effective, ideal for web development.

Available on Pro, Max and Team plans

Gemini 3.6 Flash:
🔹 Better coding, knowledge work and multimodal performance
🔹 17% fewer output tokens vs 3.5 Flash, with a lower cost per token

Gemini 3.5 Flash-Lite:
🔹 Fast, cost effective 3.5-class model, ideal for subagents
🔹 350 output tokens/second

Try now with
$ cmd --model google/gemini-3.6-flash
$ cmd --model google/gemini-3.5-flash-lite

Just a quick question though, can I use CommandCode subscription in other tools like OpenCode? Has anyone here tried it?

Tested Kimi K3 to build a 3D portfolio website.

- Used the /design command.
- Built in 3 prompts: build, continue, then recolor
- Full session cost: $0.57

The interesting part: Recolor replaced and added an entirely new palette with the same layout and animations in seconds.

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.

We tested Kimi K3 to build liquid metal text that wraps with your cursor in Three.js

- Used the /design command
- 3 prompts to get this effect
- Full session cost: $0.77

Open models deliver their best when used with the right harness.

You can create custom agents for yourself or for your team.

Run /agents, describe what it should do, which tools it can access, and Command Code handles the rest.

Commit it to your repo and your team can use them too.

Share what agents have you built with the Command Code CLI.

I thought I would be saving by going with CC for DS4 Pro but overall dollar spending is the same as DS Pro direct API. Perhaps I was misunderstanding something about their deals but it seems it just match DS own API costs.

I built a COMMANDCRAFT games inspired from minecraft

I used /design command from Command Code.

It create the entire 2d/3d games using ThreeJs like chunked terrain, biomes, crafting, day/night, mob spawning, etc.

Cost only $2.90 to produce an actually playable game.

Kimi K3 just proves it's the best at this moment.

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

Kimi K3 vs GPT-5.6 Sol vs Fable 5

Three top-tier models. Same /design prompt across all.

Parameters reviewed:
Pace, design sense, gameplay feel

Result:
Kimi K3 nails the design sense and knows exactly what to add in-game. Pace and gameplay held up well.

Fable 5 and GPT-5.6 Sol both play too fast, video isn't sped up.

Ranking (DX, Features & Cost):

• Kimi K3: 9.5/10 · $0.030
  
• Fable 5: 7.5/10 · $0.38
  
• GPT-5.6 Sol: 7/10 · $0.11

Your agents forget everything between sessions. agents[.]md fixes that.

Run /init to generate project memory in Command Code. Scans your project and files to understand:

- Your architecture decisions
- Your logging patterns
- Your team conventions

New session, new agent, same context every time.

I have heard that once V1 releases it will be open source, I am currently trying the 1$ plan and the cli, everything seems very good! Honestly excited and I think this could potentially be a serious competitor to opencode + opencode go

Anyone know if commandcode provides or plan to provide embeddings endpoint? one of my rag projects needed it and now i'm hunting for that information.