README.md

metadata

title: OpenMark
emoji: 🎯
colorFrom: blue
colorTo: purple
sdk: static
pinned: true
short_description: AI model benchmarking platform — 100+ models on YOUR tasks
tags:
  - benchmarking
  - llm
  - ai
  - model-evaluation

OpenMark — AI Model Benchmarking Platform

Stop trusting leaderboards. Benchmark your own work.

OpenMark lets you benchmark 100+ AI models on your own tasks with deterministic scoring, stability metrics, and real API cost tracking.

What Makes OpenMark Different

• Your tasks, not generic tests — Write any evaluation task (code review, classification, creative writing, vision analysis) and test models against it
• Deterministic scoring — Same prompt, same score, every time. No vibes-based evaluation
• Stability metrics — See which models change their answer across runs (hint: many do)
• Real API costs — Know exactly what each model costs per task, not just per million tokens
• 100+ models — OpenAI, Anthropic, Google, Meta, Mistral, xAI, and more. Side-by-side comparison

Why It Matters

Generic benchmarks (MMLU, HumanEval, MATH) test models on tasks you'll never use. The only benchmark that matters is yours: does this model, with this prompt, for this task, give you the result you expect — reliably and affordably?

Try It

👉 openmark.ai — Free to start.

Links

• 🌐 Website
• 📝 Why Generic Benchmarks Are Useless
• 🐦 Twitter/X
• 💼 LinkedIn