LM Evaluation Harness vs OpenCode
A side-by-side comparison of two self-hosted self-hosted ai options — licensing, setup difficulty, resource needs, and what each one replaces.
Not the right match-up?
LM Evaluation Harness
Unified framework to benchmark language models on many tasks
VS
OpenCode
The open source AI coding agent
| Feature | LM Evaluation Harness | OpenCode |
|---|---|---|
| Category | Self-Hosted AI | Self-Hosted AI |
| License | MIT | free |
| Language | Python | TypeScript |
| Setup difficulty | Medium | Easy |
| Min. RAM | 8,192 MB | 512 MB |
| Deployment | source | docker, one-click |
| GitHub stars | ★ 13,573 | ★ 194,821 |
| First released | 2021 | 2022 |
| Replaces | OpenAI Evals | — |
Why pick each one
Choose LM Evaluation Harness if…
- Released under the MIT license
- Mature project with 13.6k GitHub stars
- Written in Python
Choose OpenCode if…
- Easy to set up — beginner-friendly
- First-class Docker support for quick deployment
- One-click install on common self-host platforms
- Mature project with 194.8k GitHub stars
Frequently asked questions
Is LM Evaluation Harness or OpenCode better?
OpenCode is the stronger all-round pick: it has both the larger community and the simpler easy setup. Consider LM Evaluation Harness if its specific feature set fits your needs better.
Are LM Evaluation Harness and OpenCode free and open-source?
Yes. LM Evaluation Harness is licensed under MIT and OpenCode under free. Both can be self-hosted at no software cost.
Can I run LM Evaluation Harness and OpenCode with Docker?
LM Evaluation Harness: check the project docs for container support. OpenCode: yes.