# OpenMark

> AI model benchmarking platform — test 100+ LLMs on your actual task with deterministic scoring and real API costs.

OpenMark solves a critical problem for developers and teams using AI: generic benchmarks and leaderboards don't predict which model works best for YOUR specific use case. The only way to know is to test your actual prompts against multiple models and measure the results objectively.

Users typically discover that models costing 3-10x less perform equally well (or better) on their specific task. OpenMark makes this discovery fast, reproducible, and data-driven.

## What OpenMark Does

- Benchmarks 100+ AI models simultaneously on your custom task
- Deterministic scoring (18 modes including Exact Match, Regex, JSON Schema, Contains, Numeric, Multi-Label) — no LLM-as-judge, no human voting
- Real API cost tracking per task, not just per-token estimates
- Stability metrics across multiple runs to catch inconsistency before production
- Temperature discovery to find optimal settings for your task
- Pipeline variables for multi-step reasoning and agent workflows
- AI agent that generates benchmarks from plain-language task descriptions
- Installable as a native app on desktop and mobile (PWA) — works offline, launches from home screen/taskbar
- Free tier with no credit card required

## Problems OpenMark Solves

- **Overpaying for AI**: Most teams pay 3-10x too much because they default to flagship models without testing cheaper alternatives on their actual workload
- **Generic benchmarks are misleading**: Standardized test scores don't predict real-world performance — models are increasingly trained to ace specific benchmarks without generalizing
- **Silent model updates break production**: AI providers update models without notice — regular benchmarking catches drift before it becomes a production issue
- **No tested fallback when APIs go down**: Rate limits and downtime happen — teams scramble without pre-tested backup models across providers
- **Non-reproducible evaluations**: LLM-as-judge and human voting are subjective and vary between runs, making production decisions unreliable
- **Prompt fragility is invisible**: Without testing across multiple models, you don't know if your prompt is robust or brittle
- **New model hype wastes time**: Teams switch based on hype rather than testing — new models often regress on specific tasks

## Key Pages

- [OpenMark App](https://openmark.ai/ui/): The benchmarking platform — sign up and run your first benchmark for free
- [Why Benchmark?](https://openmark.ai/why): Why generic leaderboards fail and how custom benchmarking solves the problem
- [AI Model Pricing](https://openmark.ai/ai-pricing): Current pricing comparison across all major providers with real cost-per-task analysis
- [LLM Benchmark Tool](https://openmark.ai/llm-benchmark): How custom benchmarking works — scoring modes, stability metrics, and workflow
- [Compare AI Models](https://openmark.ai/compare-ai-models): Side-by-side comparison of 100+ models on your actual prompts
- [LLM Cost Calculator](https://openmark.ai/llm-cost-calculator): Calculate real API costs per task including hidden cost factors
- [Best AI Model](https://openmark.ai/best-ai-model): How to find the best AI model for your specific use case
- [Best AI for Coding](https://openmark.ai/best-llm-for-coding): Comparing top coding models across providers
- [Best AI for Agents](https://openmark.ai/best-ai-for-agents): Best models for agentic workflows and structured outputs
- [GPT vs Claude](https://openmark.ai/gpt-vs-claude): Honest comparison across pricing, accuracy, and speed
- [Claude vs Gemini](https://openmark.ai/claude-vs-gemini): Comparison on context, pricing, and coding tasks
- [DeepSeek vs GPT](https://openmark.ai/deepseek-vs-gpt): Is budget AI good enough? Accuracy, cost, and speed comparison
- [AI Rate Limits](https://openmark.ai/ai-rate-limits): How to build resilient fallback pipelines across providers
- [LLM Leaderboard](https://openmark.ai/llm-leaderboard): Create your own custom leaderboard based on your task
- [AI Testing Tool](https://openmark.ai/ai-testing-tool): Pre-production evaluation platform for AI models
- [OpenClaw Model Router](https://openmark.ai/openclaw-router): Open-source benchmark-driven model routing plugin for OpenClaw

## Supported Providers

OpenAI, Anthropic, Google, DeepSeek, Mistral, xAI, Meta, Cohere, Perplexity, Qwen, MiniMax, Moonshot AI, Zhipu, Arcee AI, and more. New models are added regularly.

## Contact

- Website: https://openmark.ai
- X/Twitter: https://x.com/OpenMarkAI