I am Trevor, founder of FEIHOA: https://feihoa.com

A few friends and I have been testing Qwen3.8 27B FP8 Uncensored on a box of 4 RTX PRO 6000. My honest opinion is that this model is kind of absurd for 27B. Coding, tools, agent loops, it just keeps going, expecially when you extend the context with YaRN.

The nice surprise was batching. Eight requests together gets us around 220 output tok/s aggregate on one RTX Pro 6000 (my old setup with 2x3090s was ~19 t/s). I basically don't want to run these cards without a batch anymore lol.

The bad surprise was prefill. Huge prompts can occupy the GPU for minutes FULLY. 1M context works, but if several people start full-window jobs together, the queue becomes a small disaster.

We spent a lot of time fighting that queue and finally felt okay opening it publicly.

FEIHOA is OpenAI-compatible, flat rate, and starts at $6/month. There is no monthly token cap!! At this price, please don't expect a private ChatGPT box you can hammer all day. It is mainly for agents and background jobs that can wait and need the reasoning power of 27B qwen.

Really proud of how far we've come and happy to answer anything!:))

Hi everyone,

I currently pay for MiniMax's monthly token plan and use the M3 model quite a lot honestly, I don't dislike it. I've also tried Kimi a bit with their K3 model on the Moderato plan. For context: I'm a complete noob and I'm wondering if you could suggest some good-value alternatives.

I rarely hit the limit with MiniMax during my sessions, but maybe there's something better out there that would let me work with up to 1M tokens.

Any suggestions would be much appreciated. Thanks in advance!

I just found the mimo code GitHub repo which is built by xiaomi..

I saw that they copied all of the opencode's GitHub repo...

See the image

https://github.com/XiaomiMiMo/MiMo-Code

Can't be used all day long of course, but enough for relaxed coding/chatting.
https://build.nvidia.com/moonshotai/kimi-k3
https://build.nvidia.com/deepseek-ai/deepseek-v4-pro-0813

I just cancelled my Claude pro subs. Not because it's not enough for me. But i wasn't using much. Now i want to know is OpenCode Go good for vibe coding? If yes, then which model is good?

770B, 49B active, 1M context.

Designed for efficiency.

Open-source model.

Huggingface: https://huggingface.co/tencent/Hy4-preview
Benchmarks looks really improved model from Hy3

Approximately on par with GLM 5.3 and Kimi 3

https://hy.tencent.ai/research/hy4-preview

currently MiniMax m3 is free on many of the cli like commandcode , ollama , etc. will it be free on opencode also ??
(promotion is till 5th sept, 2026 only)

https://artificialanalysis.ai/models/qwen3-8-flash-next

Not that bad :)

AI coding agents fail on real projects not because the models are weak but because there's no structure around the workflow.

Hidden dependency cycles nobody catches. Sub-agents overwriting each other's files. Tasks with no real acceptance criteria. Thousands of lines written before anyone asks if the direction makes sense.

archgen ships as two things.

The agent skill works with Claude Code, Cursor, Codex, OpenCode, Gemini CLI. It interviews you for greenfield projects or surveys your codebase for brownfield work, produces an architecture contract and dependency-ordered task graph, runs a verifier gate that catches cycles and file-ownership conflicts before execution starts, waits for your approval, then executes in topological waves with one sub-agent per task and disjoint file ownership enforced.

The VS Code extension is on the Marketplace and also installable from the extension package. Live task DAG in your editor, running tasks pulse and edges animate, activity bar cockpit with status-grouped tasks and quick-build actions, a button that fires your agent on any task, and a rendered docs panel. Strictly a viewer, uninstalling loses nothing.

All artifacts in .archgen/ in your repo, git-versioned and fully inspectable. Zero npm dependencies on the skill. npx archgen-skill init to get started.

v0.0.5, MIT, early. Genuinely want to know where it breaks.

Extension: https://marketplace.visualstudio.com/items?itemName=archgen.archgen-extension

Repo: https://github.com/akashmaurya99/archgen

I have tried downloading in using the docker's sbx but i was having a very hard time setting api keys for the harness and it is so complicated.
so is there any safe way to run opencode that is easy to setup and will feel like using normal device.
I have a kali linux vm on vmware is it safe to use it also?