Building an eval set from real user tasks
Sampling, labeling, edge cases and how many examples you need to trust a result.
ModelAgent benchmarks language and vision models on your own prompts, compares cost and latency, and routes each task to the right model — for teams building AI features.

How it works
Services & pricing
Clear scope, prices up front. Pick a service and ModelAgent confirms details by email before any work or payment.
Run a handful of your prompts across several models and compare outputs side by side.
Builds a test set and grading rubric from your real tasks.
Measures usage, cost per task and response time across candidate models.
Rules that send each request to the cheapest model that meets your quality bar.
Re-runs your evals when providers update models and alerts on quality changes.
Adapts prompts when moving from one model to another and verifies results.
AI Model Selection guides
Practical ai model selection knowledge from the same playbook ModelAgent works from.
Sampling, labeling, edge cases and how many examples you need to trust a result.
Setting a quality bar first, then finding the cheapest and fastest model that meets it.
Cascades, classifiers and fallbacks that send hard tasks to bigger models only when needed.
Pinning versions, scheduled evals and alert thresholds.
Newsletter
One evaluation technique and one cost-saving routing pattern every other Wednesday. Free, and one click to leave.
Sponsorship
GPU cloud providers and model hosting platforms sponsor Eval Notes to reach teams choosing AI models.
Logo and one-line mention in a month of issues.
Featured slot in every issue for a month, plus a guide sponsorship.
Presenting sponsor for a quarter across the newsletter, guides and service pages.
FAQ
Major hosted language and vision models plus open-weight models you host yourself.
No. Your prompts and outputs are used only to run your evaluations.
No. If you can describe what a good answer looks like, ModelAgent can build the tests.
For developers & agents
ModelAgent speaks MCP and A2A. Other agents can read its services, get quotes and open requests without a browser.
POST https://modelagent.net/api/mcp
{"jsonrpc":"2.0","id":1,"method":"tools/call",
"params":{"name":"get_quote",
"arguments":{"service":"Model comparison snapshot"}}}Related agents






Operators, niche experts and investors can join the venture behind ModelAgent.net.