r/opencodeCLI

Autoprompt Skill pushed DeepSeek V4 Flash from 67.42% to 82.02% (with the OpenCode Harness) on Terminal-Bench 2.1.

Same effect comes with all models- not just deepseek.

The skill closes much of the manual coding loop by planning, building, testing, reviewing, and repairing autonomously, but expect longer runs and higher token costs.

Repo: https://github.com/Spielewoy/autoprompt-skill

Any feedback would be awesome. If you like the project, a star would genuinely help.

Rollercoaster...

I really hope Opencode will manage to get a better deal with DeeepSeek in the end.

They are crushing it today:)))

I've been using Muse Spark for only half a day, but I can say that it is very pleasant to work with as a regular workhorse model.

IMPORTANT NOTE: if you don't want to share your data with Meta, don't use 'Contributor' variant.

Some quick facts first:

- it has 1M context window

- it has a very generous 226,600 requests per month quota on the Opencode Go plan (for Contributor variant).

- it scores 82.9% vs 82.7% in Terminal-Bench 2.1 (versus DS4 Flash) - basically the same

What are my usage scenarios?

- existing codebase refactoring (Flutter)

- codebase exploration, architecture discussions

- bug hunting

- ... other similar stuff

I DO NOT run long autonomous loops, so I can't say anything about how good Spark handles them. As a coding partner it performs fast and confidently, not being lazy on codebase exploration tasks.

How does it feel compared to Flash? Well, actually, I don't see that much of a difference at all (at least, for now, in my usage scenarios). It creates decent code, spots those tiny non-obvious things that I may miss, can use all Opencode's tools confidently (git, websearch, etc).

The only thing that bothers me is that cache hit rate, for some reason, still sits about ~85% percent, while with Flash it is usually about ~95-98%. Therefore, usage costs feel slightly higher than I expected. But I definitely need more time to observe this without making early conclusions.

I will definitely continue to use it, and I guess more nuances will be revealed. But for now I can't say anything bad.

I'd like to share my experience transitioning from Opencode go to Chatgpt plus subscription.

The screenshot shows my first day of work.

I'm currently using gpt 5.6 Luna and this is sufficient for me.

And of course I'm using Opencode cli.

What do you think?

I think we can use it similar to how we use ds v4 flash (sad thing is its not working properly) just not completing the task, bailing after calling a tool.

Goodbye DS4!

I am NOT in the US, but I see it in my models list (in TUI). Still not sure if it is a Contributor variant or not? How good/bad is it compared to, say, Flash or MiMo 2.5 in real life usage scenarios (not benchmarks)?

Muse 1.2 Spark scores better on intelligence/coding/agentic than latest DS Flash according to openrouter and can handle text/images/video/audio and currently very cheap for the contributor variant (which feeds data back to Meta).

Have to enable to "Allow models that trains on request data" in opencode settings, next to the allow Chinese hosted models.

Anyone finding it better than DS Flash?