OpenMark
Benchmark AI models for YOUR use case
1 follower
Benchmark AI models for YOUR use case
1 follower
Test ~100 AI models against YOUR specific prompts. Get deterministic scores, real API costs, and stability metrics. Built this after discovering the "best" model for my RAG pipeline was a model that performed better AND cost 10x less. No LLM-as-judge. No voting. Just reproducible results for your actual use case. • 18 scoring modes • Real cost/efficiency calculations from API pricing • Vision & document support • Beginner-friendly yet capable of deep, complex use. Free tier available
Hey all, thanks for checking this out.
About 8 months ago I was building a RAG pipeline and needed to choose an LLM for a specific use case (semantic similarity).
When I tested models against that task, a non-flagship model turned out to be faster, more accurate for the job, and much cheaper than the model I originally planned to use. I was about to spend ~10× more on API costs for worse results.
That’s what led to OpenMark.ai.
The idea is simple: stop trusting generic benchmarks. Benchmark models using your exact task, prompts, and constraints, and get deterministic, reproducible results.
What I focused on:
* Deterministic scoring (no LLM-as-judge, no voting)
* Real API cost & efficiency metrics
* Stability scores
* ~100 models in one place
I’m launching this solo, so I’d genuinely love feedback. What would make this useful for you?