Leftovers after https://github.com/zed-industries/zed/pull/53651
Updated models:
- **Zen**: GPT 5.5 and GPT 5.5 Pro - not tested because I don't have a
Zen subscription and I stubbornly refuse to get one
- **Go**: DeepSeek V4 Pro and DeepSeek V4 Flash - failing due to
https://github.com/anomalyco/opencode/issues/24224
- **Go**: MiMo V2.5 and MiMo V2.5 Pro - tested, confirmed working
- **Free**: Ling 2.6 Flash, [available for "a limited
time"](https://x.com/opencode/status/2046717718028513694) - tested,
confirmed working
- **Free**: Hy3 Preview, [available until May
8](https://x.com/opencode/status/2047328981435756824) - tested,
confirmed working
When testing the new models and comparing with OpenCode CLI, I realized
the
[variants](https://opencode.ai/docs/models/#built-in-variants)/thinking
effort configuration was not supported by the Zed Agent implementation.
I added that for OpenCode Go models, after manually checking what each
model supports in OpenCode. Reasoning levels and everything seems to
work (UI looks good, model works) but I have no idea how to specifically
test reasoning levels without doing a full benchmark 🤷
I did not add the same thing for OpenCode Zen models because I could not
figure out a way to get the supported variants.
@benbrandt let me know if you want me to take this out of this PR and to
keep just the model updates!
Self-Review Checklist:
- [x] I've reviewed my own diff for quality, security, and reliability
- [x] Unsafe blocks (if any) have justifying comments
- [x] The content is consistent with the [UI/UX
checklist](https://github.com/zed-industries/zed/blob/main/CONTRIBUTING.md#uiux-checklist)
- [ ] Tests cover the new/changed behavior
- [x] Performance impact has been considered and is acceptable
Release Notes:
- OpenCode: add new models (GPT 5.5, DeepSeek V4, MiMo V2.5, Ling 2.6,
Hy3)
- OpenCode Go: add support for configurable reasoning effort levels
---------
Co-authored-by: Ben Brandt <benjamin.j.brandt@gmail.com>
Before you mark this PR as ready for review, make sure that you have:
- [x] Added a solid test coverage and/or screenshots from doing manual
testing
- [x] Done a self-review taking into account security and performance
aspects
- [x] Aligned any UI changes with the [UI
checklist](https://github.com/zed-industries/zed/blob/main/CONTRIBUTING.md#uiux-checklist)
Per Opencode's website:
> Zen gives you access to a curated set of AI models that OpenCode has
tested and benchmarked specifically for coding agents. No need to worry
about inconsistent performance and quality, use validated models that
work.
> - [x] Testing select models and consulting their teams
> - [x] Working with providers to ensure they're delivered properly
> - [x] Benchmarking all model-provider combinations we recommend
There are so many models available, but only a few work well with coding
agents. Most providers configure them differently with varying results.
The models under the Zen umbrella typically have a more reliable
token(s) per second speed with minimal outages. The opencode ecosystem
has improved my workflow if not many others' !
Release Notes:
- Added [Opencode Zen](https://opencode.ai/zen) to list of providers
---------
Co-authored-by: Ben Brandt <benjamin.j.brandt@gmail.com>
Co-authored-by: Bennet Bo Fenner <bennetbo@gmx.de>
