Describe what you're building. XFMS decompresses your intent, aggregates 8 independent benchmark sources, and returns a ranked shortlist — with plain-English rationale for every pick.
Three steps from intent to ranked shortlist.
Say what you're using the model for — "fixing bugs in Python," "summarizing legal contracts," "OCR on shipping manifests." Plain English, no configuration.
XFMS works out what actually matters for your task — structured output reliability, factuality, instruction following, latency, cost — and weights every dimension to your purpose.
Every model is scored against your weighted criteria from 8 independent benchmark sources. No provider self-reports. You get a ranked shortlist with citations.
This is actual output — not a mockup.
Four principles every pick is built on.
Every score comes from an independent evaluator running the same protocol across every model. No picking your own report card.
LiveBench, MMLU, GPQA, BigCodeBench, Aider Polyglot, Tau-Bench, LongBench, HumanEval+. No single leaderboard decides a pick.
We infer weights from your purpose — but if you say "cheapest model, period," that overrides everything. Your preference always wins.
Missing data stays missing — no interpolation, no synthetic scores. Coverage gaps are surfaced on every pick.
Free to start. Pro when you need live testing.
XFMS speaks MCP — the standard your AI assistant uses to call external tools. Point your client at one URL and the tools appear inside your chat.
Don't have an OpenRouter key yet? Grab one here for the live-probe tools.