GitHub radar
Find out which coding-agent harness gets the most from your model
The Harness Leaderboard runs nine coding-agent wrappers against the same open models under identical conditions and shows which one performs better. You get a measured answer instead of picking by habit.
It's a public leaderboard comparing harnesses — software wrappers that give an AI model tools and the right to write and run code — on the same tasks.
When it helps
Useful if you already run an open model through Claude Code, Codex, or a similar harness and want proof of which one gets more out of it. Not useful if you need data on Claude's own models — Opus or Fable — they aren't tested here.
Pros
- Every run's logs are public and checkable
- Compares nine harnesses under identical conditions
- Nothing to install — read it straight in your browser
- Shows reliability: solves the task every time, not just once
Cons
- Tests only three models, with no way to add your own
- Doesn't cover Claude's own models — Opus and Fable
- Both open models test weak in real agentic work, limiting conclusions
How to set it up — step by step
- 1Open the leaderboard at https://huggingface.co/spaces/joelniklaus/harness-leaderboard in your browser.
- 2Look at the results table for GLM-5.3-Flash, DeepSeek-V4.1-Flash, and Flint across all nine harnesses.
- 3Send your agent the text from the block below to get a breakdown of the best harness for GLM-5.3-Flash right now.
- 4Check the agent's answer against the published run logs on the page.
- 5Compare the result with the harness you already use and decide whether to switch.
Text for your agent
Copy this and send it to your agent — Claude Code, Codex, any of them:
Open this leaderboard https://huggingface.co/spaces/joelniklaus/harness-leaderboard and tell me which harness currently performs best on the GLM-5.3-Flash model and why.
Nothing to install — the leaderboard opens and reads right in your browser.
Open on Hugging Face▌ More finds