Open WebUI model arena tests compare answers from connected models through the evaluation system instead of switching model names by hand. An arena run helps an admin or team lead decide which model should handle support, coding, knowledge-base, or other shared chat workloads.
The arena appears as Arena Model in the chat model picker. It can use all visible base models by default, or a smaller custom arena set from Admin Panel → Settings → Evaluations. Ratings become model-comparison evidence when the response is part of a sibling-response comparison, because the feedback record needs both the selected model and the other model IDs in the comparison.
Start with at least two working models and a prompt that does not expose secrets, customer records, or private evaluation data. The successful end state is a leaderboard entry where the preferred model has a higher rating and a recorded win against the other model.
Use an admin account if the arena setting or evaluation leaderboard is not visible to ordinary users.
The arena setting can be present with only one connected model, but a useful arena comparison needs at least two base models.
The default arena model uses all available models. Use the plus button only when the test should compare a specific model subset.
If a custom arena model was created, select that custom arena name instead of the default Arena Model.
Summarize the support-triage policy in one sentence.
A leaderboard comparison requires sibling responses. Rating a single standalone answer records ordinary feedback, but it does not create a pairwise model result.
Avoid choosing by visible model name when possible. The value of the arena is the response quality, not prior preference for a provider or model family.
Evaluation feedback can store prompt and response snapshots. Keep production secrets, private customer text, and regulated data out of arena prompts unless retention and access controls are approved.
Open WebUI uses an Elo-style leaderboard, so one prompt is enough to verify the workflow but not enough to make a final model choice. Repeat the same process across a small prompt set before changing a shared default model.