Bench AI is a practical toolkit for comparing language models with the same prompt, in the same run, with the metrics that matter next to the responses.
It started from a simple problem: choosing the right model is difficult when every provider has a different interface, different latency profile, and different cost model. Bench AI puts the answers side by side so the decision is based on output quality, latency, token usage, and estimated cost instead of guesswork.
What it does
Runs one prompt against multiple models. Shows responses, errors, latency, token counts, and cost in one view. Works as a CLI through bench-ai. Includes a Next.js web UI for interactive comparisons. Supports YAML eval suites for repeatable prompt tests. Can be used in scripts or CI with JSON output.
Why it matters
Model selection is now an engineering decision, not just a preference. Bench AI helps compare tradeoffs quickly when building AI features, testing prompts, or validating whether a smaller or local model can do the job.
Current status
Bench AI is live and published as an npm package. The hosted web UI is available at bench-ai-web.vercel.app, and the repository includes the CLI, web app, provider integrations, and suite runner.
