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OpenMark

By openmarkAll Openmark servers

Benchmark your own prompt on 100+ LLMs with real API calls; pick the cheapest model that passes.

First seen 18 Oct 2026. One server, whatever directories list it: each directory listing keeps its own page and history.

1
Directories
Collected by InvokeRank
9
Tools
From an anonymous probe
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ToolBench grade
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GitHub stars
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Tools

ToolDescriptionBehaviour
estimate_costCredits 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 settings (e.g. max_tokens), before running.Not declared
get_accountThe 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.Not declared
get_resultsStatus 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.Not declared
get_task_formatHow 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 mode name.Not declared
list_modelsCurrent 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.Not declared
prepare_attachmentsGet 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.Not declared
run_benchmarkSave 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 match the app's Configure & Run panel (preset, stability_runs, max_tokens, temperature_discovery, temp_preference, timeout_profile, custom_timeout, fail_fast).Not declared
validate_taskCheck 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.Not declared
watch_taskWatch 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.Not declared

Directory listings

DirectoryListingTierFirst seen
Official MCP RegistryOpenMark-18 Oct 2026