README.md

---
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](https://openmark.ai) 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](https://openmark.ai)** — Free to start.

## Links

- 🌐 [Website](https://openmark.ai)
- 📝 [Why Generic Benchmarks Are Useless](https://dev.to/openmarkai/i-benchmarked-10-ai-models-on-reading-human-emotions-3m0b)
- 🐦 [Twitter/X](https://x.com/OpenMarkAI)
- 💼 [LinkedIn](https://www.linkedin.com/company/openmark-ai)