AI Testing Tool
for Developers

Before you ship an LLM-powered feature, you need to know: which model is accurate, reliable, and cost-effective for YOUR use case? OpenMark is the testing tool that answers that.

Why You Need an AI Testing Tool

You wouldn't ship code without tests. Why ship an LLM integration without testing the model?

🔀

Model Selection

100+ models to choose from. Which one works best for your feature? Test before committing to a model and provider.

📉

Regression Detection

Models get updated. A model that worked last month might degrade. Regular benchmarks catch regressions before your users do.

💸

Cost Optimization

You might be paying 10x too much. A cheaper model might match your accuracy needs. Only testing reveals this.

🔒

Production Confidence

Deterministic scoring proves a model works for your task. No guessing, no vibes — just data.

How OpenMark Works as an AI Testing Tool

OpenMark is built for developers who need to evaluate LLMs quickly and reliably:

📝 Write test cases: Describe your task in plain language or create structured YAML with specific prompts, expected outputs, and scoring criteria.
🤖 AI-generated benchmarks: Our agent converts your description into a structured test automatically. Review, edit, and run.
🎯 18 scoring modes: Exact match, regex, JSON schema validation, numeric tolerance, semantic similarity, and more — no LLM-as-judge.
📊 Instant results table: Sort by accuracy, cost, speed, stability, or accuracy-per-dollar. Export and share with your team.
AI testing tool results showing model accuracy, cost, and speed comparisons

Testing Scenarios

OpenMark covers the full spectrum of AI evaluation needs:

🏗️ Model Selection

Testing 5-20 models before building a feature

🔄 Monthly Regression

Re-running benchmarks to catch model updates

💰 Cost Audit

Finding cheaper models that maintain quality

🆕 New Model Eval

Testing a newly released model on existing tasks

🌡️ Temperature Tuning

Finding optimal settings for each model

📋 Compliance Check

Verifying output format and content rules

"We used to spend 2 days manually testing models with spreadsheets. Now we run an OpenMark benchmark in 5 minutes and get better data. It's become part of our CI/CD mindset for AI features."

FAQ

What makes this different from manually testing in a playground?

Playgrounds test one model, one prompt at a time with no scoring. OpenMark tests 20+ models simultaneously with deterministic scoring, cost tracking, and stability metrics.

Do I need to write code?

No. Describe your test in plain language and OpenMark generates the benchmark automatically. For power users, you can write structured YAML for precise control.

Can I use this for LLM evaluation in production?

OpenMark is designed for pre-production evaluation and ongoing model monitoring. Run benchmarks before deploying and monthly to catch regressions. Learn more →

Test AI Models Before Production

100+ models. Deterministic scoring. Real costs.
Free tier — no credit card required.

Start Testing — Free →

More from OpenMark

LLM Benchmark Tool Compare AI Models Best AI Model LLM Leaderboard AI Pricing Why Benchmark?