OpenMark
by openmark.ai in AI models & inference
Benchmark your own prompt on 100+ LLMs with real API calls; pick the cheapest model that passes.
https://openmark.ai/mcp- Tools
- 9
- open to any client
- Uptime
- 100%
- last 30 days
- Response time
- 192 ms
- 425 ms slowest 5%
- Last check
- Passed
- 1 h ago, next in 4 h
Reliability
Status and outage history · Atom feed · Watch with other listings
How to connect
Add it to any MCP client that supports remote servers.
{
"mcpServers": {
"openmark": {
"type": "http",
"url": "https://openmark.ai/mcp"
}
}
}9 tools
- get_task_format
How to write an OpenMark task: the YAML structure, all 18 scoring modes, and tips. Call this before writing a task. Pass a topic for the full detail on one subject (the app's Task Guide): fields, scoring, composite, chaining, documents, examples, best_practices, or a scoring…
- validate_task
Check a task YAML the way OpenMark will before running it: structure, scoring settings, and the test limit of the user's plan. Free, saves nothing. Returns the problems to fix and warnings worth a look.
- list_models
Current OpenMark model ids with list prices ($ per 1M tokens), as text and as a structured list. Use these ids in run_benchmark. Append @low, @medium or @high to a reasoning model id to set its reasoning effort.
- prepare_attachments
Get an upload_uid and a one-hour upload link (no API key needed) for images, PDFs or text documents, with the exact curl command. Upload the files, reference them by file name in each test's attachments list, then pass the upload_uid to estimate_cost / run_benchmark.
- estimate_cost
Credits a run_benchmark call would use, before spending anything: the expected total, the split per model, the balance needed to start, the worst case, and the user's balance. Same inputs and run settings as run_benchmark. Use it to drop an expensive model, or to compare…
- run_benchmark
Save a task (YAML, see get_task_format) to the user's OpenMark account and run it on the given models with real API calls. Returns a job_id and the expected cost; poll get_results. Spends the user's credits; pass max_credits to only start within a budget. Optional run settings…
- get_results
Status of a benchmark job, and once completed the ranked results (score, stability, cost per run, latency), the tests each model missed with its answer, a recommendation for the chosen objective and quick picks for the others.
- get_account
The user's plan, credit balance and limits, and what a credit pack, Pro or Expert would unlock. Use it before large runs, or when a run is refused for credits or limits.
- watch_task
Watch the task of a completed job: when new or cheaper models ship, OpenMark re-tests up to 4 of them next to the user's pick and emails the user only when one beats it. Each check uses the user's credits at the normal rate.
Security scan
No findings
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Recent checks
| When | Result | HTTP | Time |
|---|---|---|---|
| 1 h ago | Passed | 200 | 161 ms |
| 14 h ago | Passed | 200 | 221 ms |
| 27 h ago | Passed | 200 | 180 ms |
| 39 h ago | Passed | 200 | 173 ms |
| 2 days ago | Passed | 200 | 134 ms |
Show 10 older checks
| 3 days ago | Passed | 200 | 210 ms |
| 3 days ago | Passed | 200 | 207 ms |
| 4 days ago | Passed | 200 | 425 ms |
| 4 days ago | Passed | 200 | 178 ms |
| 5 days ago | Passed | 200 | 225 ms |
| 5 days ago | Passed | 200 | 204 ms |
| 5 days ago | Passed | 200 | 258 ms |
| 6 days ago | Passed | 200 | 180 ms |
| 6 days ago | Passed | 200 | 174 ms |
| 7 days ago | Passed | 200 | 200 ms |