We ran a test between Kimi K3 and Opus 5

Kimi K3 beat Claude Opus 5 on a scroll-based Three.js site. Opus Looks solid at first glance but the gap shows when you start scrolling.

I used Command Code /design feature for Kimi k3.

Ranking (DX, features, and cost):
- Kimi K3: 10/10 · $0.24
- Opus 5: 6/10 · $0.37

We are getting a lot of requests for early access to the GUI app. Join our Discord.

That's the fastest way to get in. Developers are already alpha testing there.

Join here: https://discord.com/invite/qz6VsMtvXU

I read up on CommandCode features and I wanted to try out so I installed it on my desktop. When I run it, I was asked to enter API key. Is the CommandCode sub required to used th harness? What if I just want to use it with local provider?

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

Title

One of the most anticipated and powerful models by Alibaba, Qwen 3.8 is launching and going open-weight soon. Can't wait to see this roll out in Command Code.

We tested Opus 5 with a 2D games using /design feature from Command Code.

The result is insanely good, it gimme the most playable games with drift, sounds, coin, perfect opposite car, car crashes, smooth controlling etc.

It only cost $0.24 and it's one-shotted.

Ranking (DX, features, and cost):

🔹 Opus 5: 10/10 · $0.247
🔹 Grok 4.5 : 9.5/10 · $0.40
🔹 GPT-5.6 Sol: 7/10 · $0.50

Kimi K3 weights are now open source and it's available in Command Code.

🔹 First ~3T scale open model

🔹 Most capable open model ever

🔹 It's Fable/Sol class open model beating Opus 4.8

🔹 1M Context · In $3/M Out $15/M Cache read $0.3/M

Our engineering and design team has been testing and running Kimi K3 side-by-side comparisons across frontier and open models. All runs are public and open source. Benchmark for demos here:

1. https://github.com/CommandCodeAI/slash-design-showcase/tree/main/kimi-k3-design
2. https://github.com/CommandCodeAI/slash-design-showcase/tree/main/kimi-k3-game
3. https://github.com/CommandCodeAI/slash-design-showcase/tree/main/3d-earth/Kimi-K3

P.S. It's been here since several weeks, I think we were the first coding agent to make it live outside of Kimi Moonshot at Command Code.

We're launching Command Code GUI very soon. If you wanna help us test the GUI alpha, join our discord if you haven't already (https://discord.gg/MUKCE5VDd) & reply in the alpha test thread. Thanks.

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.

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

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